What's wrong with Buffer.MemoryCopy?


<title>The Grand Theft Auto V Rockstar Digital Download Key</title>

The Grand Theft Auto V Rockstar Digital Download Key


[R/inference_chisqstatistic.R:71:59:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_chisqstatistic.R#L71) *style:* **Variable and function names should be all lowercase.**
```r
  grp.indexes <- dplyr::group_indices(obj, Virus, Screen, ReadoutType,
                                                          ^~~~~~~~~~~
```
[R/inference_chisqstatistic.R:72:39:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_chisqstatistic.R#L72) *style:* **Variable and function names should be all lowercase.**
```r
                                      ScreenType, Library, Design, Cell)
                                      ^~~~~~~~~~
```
[R/inference_chisqstatistic.R:85:52:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_chisqstatistic.R#L85) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ScreenType[1],
                                                   ^~~~~~~~~~
```
[R/inference_chisqstatistic.R:86:52:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_chisqstatistic.R#L86) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ReadoutType[1],
                                                   ^~~~~~~~~~~
```
[R/inference_diffuse_knn.R:38:59:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_knn.R#L38) *style:* **Variable and function names should be all lowercase.**
```r
       dplyr::filter(Idx %in% as.integer(names(neighs))))$GeneSymbol
                                                          ^~~~~~~~~~
```
[R/inference_diffuse_knn.R:43:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_knn.R#L43) *style:* **Variable and function names should be all lowercase.**
```r
      dplyr::select(GeneSymbol, Effect)}
                    ^~~~~~~~~~
```
[R/inference_diffuse_knn.R:52:49:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_knn.R#L52) *style:* **Variable and function names should be all lowercase.**
```r
  genes.found <- dplyr::select(flat.dat, Start, GeneSymbol) %>%
                                                ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:36:44:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L36) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                           ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:36:64:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L36) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                                               ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:50:22:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L50) *style:* **Variable and function names should be all lowercase.**
```r
  diffuse.data$frame$DiffusionEffect <- mrw
                     ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:72:58:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L72) *style:* **Variable and function names should be all lowercase.**
```r
  boot.g <- tidyr::gather(bootstrap.hits, Boot, Effect, -GeneSymbol) %>%
                                                         ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:85:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L85) *style:* **lines should not be more than 80 characters.**
```r
  # -> calculate means -> calculate alphas -> calculate variance -> calculate alpha_0
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:91:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L91) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::group_by(GeneSymbol) %>%
                    ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:93:29:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L93) *style:* **Variable and function names should be all lowercase.**
```r
                       mean(DiffusionEffect, na.rm=T)) %>%
                            ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:96:57:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse_mrw.R#L96) *style:* **Variable and function names should be all lowercase.**
```r
                          tidyr::spread(flat.dat, boot, DiffusionEffect),
                                                        ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:88:39:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L88) *style:* **Variable and function names should be all lowercase.**
```r
    hits   <- dplyr::select(obj@.data$gene.hitsGeneSymbol, abs(Effect))
                                      ^~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:94:23:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L94) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::filter(GeneSymbol %in% hits$GeneSymbol) %>%
                      ^~~~~~~~~~
```
[R/inference_diffuse.R:94:44:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L94) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::filter(GeneSymbol %in% hits$GeneSymbol) %>%
                                           ^~~~~~~~~~
```
[R/inference_diffuse.R:95:24:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L95) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::select(-MeanBootstrap, -Pval, -FDR)
                       ^~~~~~~~~~~~~
```
[R/inference_diffuse.R:151:44:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L151) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                           ^~~~~~~~~~
```
[R/inference_diffuse.R:151:64:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L151) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                                               ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:165:22:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L165) *style:* **Variable and function names should be all lowercase.**
```r
  diffuse.data$frame$DiffusionEffect <- mrw
                     ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:187:58:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L187) *style:* **Variable and function names should be all lowercase.**
```r
  boot.g <- tidyr::gather(bootstrap.hits, Boot, Effect, -GeneSymbol) %>%
                                                         ^~~~~~~~~~
```
[R/inference_diffuse.R:200:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L200) *style:* **lines should not be more than 80 characters.**
```r
  # -> calculate means -> calculate alphas -> calculate variance -> calculate alpha_0
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:206:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L206) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::group_by(GeneSymbol) %>%
                    ^~~~~~~~~~
```
[R/inference_diffuse.R:208:29:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L208) *style:* **Variable and function names should be all lowercase.**
```r
                       mean(DiffusionEffect, na.rm=T)) %>%
                            ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:211:57:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L211) *style:* **Variable and function names should be all lowercase.**
```r
                          tidyr::spread(flat.dat, boot, DiffusionEffect),
                                                        ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:230:56:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L230) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(Idx %in% as.integer(names(neighs))))$GeneSymbol
                                                       ^~~~~~~~~~
```
[R/inference_diffuse.R:234:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L234) *style:* **Variable and function names should be all lowercase.**
```r
      dplyr::select(GeneSymbol, Effect)}
                    ^~~~~~~~~~
```
[R/inference_diffuse.R:243:49:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_diffuse.R#L243) *style:* **Variable and function names should be all lowercase.**
```r
  genes.found <- dplyr::select(flat.dat, Start, GeneSymbol) %>%
                                                ^~~~~~~~~~
```
[R/inference_gesper.R:60:47:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L60) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(obj, !is.na(Entrez), !is.na(siRNAIDs)) %>%
                                              ^~~~~~~~
```
[R/inference_gesper.R:66:33:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L66) *style:* **Variable and function names should be all lowercase.**
```r
    res <- dplyr::group_by(res, GeneSymbol) %>%
                                ^~~~~~~~~~
```
[R/inference_gesper.R:73:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L73) *style:* **Variable and function names should be all lowercase.**
```r
  res <- .gespeR(res, path)
         ^~~~~~~
```
[R/inference_gesper.R:80:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L80) *style:* **Variable and function names should be all lowercase.**
```r
.gespeR <- function(obj, path)
^~~~~~~
```
[R/inference_gesper.R:84:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L84) *style:* **lines should not be more than 80 characters.**
```r
  # init the matrices so that all entrez id that are not in both matrices are discarded
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_gesper.R:91:61:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L91) *style:* **Variable and function names should be all lowercase.**
```r
                               ids=as.character(pheno.frame$siRNAIDs),
                                                            ^~~~~~~~
```
[R/inference_gesper.R:105:45:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L105) *style:* **Variable and function names should be all lowercase.**
```r
                         dplyr::select(obj, GeneSymbol, Entrez) %>% unique,
                                            ^~~~~~~~~~
```
[R/inference_gesper.R:107:26:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L107) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(!is.na(GeneSymbol))
                         ^~~~~~~~~~
```
[R/inference_gesper.R:119:26:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L119) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::select(Virus, GeneSymbol, Entrez, siRNAIDs, Readout) %>%
                         ^~~~~~~~~~
```
[R/inference_gesper.R:119:46:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L119) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::select(Virus, GeneSymbol, Entrez, siRNAIDs, Readout) %>%
                                             ^~~~~~~~
```
[R/inference_gesper.R:120:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L120) *style:* **Variable and function names should be all lowercase.**
```r
    .[order(siRNAIDs)]
            ^~~~~~~~
```
[R/inference_gesper.R:123:44:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L123) *style:* **Variable and function names should be all lowercase.**
```r
  pheno.sirnas   <- as.character(pheno.mat$siRNAIDs)
                                           ^~~~~~~~
```
[R/inference_gesper.R:169:48:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L169) *style:* **Variable and function names should be all lowercase.**
```r
                            siRNAIDs=pheno.mat$siRNAIDs,
                                               ^~~~~~~~
```
[R/inference_gesper.R:176:43:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L176) *style:* **Variable and function names should be all lowercase.**
```r
  assertthat::assert_that(all(pheno.frame$siRNAIDs == rel.mat@siRNAs))
                                          ^~~~~~~~
```
[R/inference_gesper.R:177:43:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L177) *style:* **Variable and function names should be all lowercase.**
```r
  assertthat::assert_that(all(pheno.frame$siRNAIDs ==
                                          ^~~~~~~~
```
[R/inference_gesper.R:191:50:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L191) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(siRNAIDs=strsplit(as.character(siRNAIDs), ",")) %>%
                                                 ^~~~~~~~
```
[R/inference_gesper.R:192:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L192) *style:* **Variable and function names should be all lowercase.**
```r
    tidyr::unnest(siRNAIDs)
                  ^~~~~~~~
```
[R/inference_gesper.R:208:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_gesper.R#L208) *style:* **Variable and function names should be all lowercase.**
```r
.prioritize.gespeR <- function(obj,
^~~~~~~~~~~~~~~~~~
```
[R/inference_hyperstatistic.R:100:59:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L100) *style:* **Variable and function names should be all lowercase.**
```r
  grp.indexes <- dplyr::group_indices(obj, Virus, Screen, ReadoutType,
                                                          ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:101:39:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L101) *style:* **Variable and function names should be all lowercase.**
```r
                                      ScreenType, Library, Design, Cell)
                                      ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:114:52:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L114) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ScreenType[1],
                                                   ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:115:52:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L115) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ReadoutType[1],
                                                   ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:145:28:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L145) *style:* **Variable and function names should be all lowercase.**
```r
                           ScreenType, ReadoutType,
                           ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:145:40:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L145) *style:* **Variable and function names should be all lowercase.**
```r
                           ScreenType, ReadoutType,
                                       ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:147:35:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L147) *style:* **Variable and function names should be all lowercase.**
```r
                           Plate, RowIdx, ColIdx,
                                  ^~~~~~
```
[R/inference_hyperstatistic.R:147:43:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L147) *style:* **Variable and function names should be all lowercase.**
```r
                           Plate, RowIdx, ColIdx,
                                          ^~~~~~
```
[R/inference_hyperstatistic.R:148:28:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L148) *style:* **Variable and function names should be all lowercase.**
```r
                           GeneSymbol, Entrez, siRNAIDs) %>%
                           ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:148:48:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L148) *style:* **Variable and function names should be all lowercase.**
```r
                           GeneSymbol, Entrez, siRNAIDs) %>%
                                               ^~~~~~~~
```
[R/inference_hyperstatistic.R:162:55:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L162) *style:* **Variable and function names should be all lowercase.**
```r
  res <- dplyr::group_by(res, Virus, Screen, Library, ReadoutType, ScreenType,
                                                      ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:162:68:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L162) *style:* **Variable and function names should be all lowercase.**
```r
  res <- dplyr::group_by(res, Virus, Screen, Library, ReadoutType, ScreenType,
                                                                   ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:164:35:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L164) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(HRes=.hypertest(GeneSymbol, siRNAIDs, Plate,
                                  ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:164:47:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L164) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(HRes=.hypertest(GeneSymbol, siRNAIDs, Plate,
                                              ^~~~~~~~
```
[R/inference_hyperstatistic.R:165:35:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L165) *style:* **Variable and function names should be all lowercase.**
```r
                                  RowIdx, ColIdx, Readout, level)) %>%
                                  ^~~~~~
```
[R/inference_hyperstatistic.R:165:43:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L165) *style:* **Variable and function names should be all lowercase.**
```r
                                  RowIdx, ColIdx, Readout, level)) %>%
                                          ^~~~~~
```
[R/inference_hyperstatistic.R:175:27:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L175) *style:* **Variable and function names should be all lowercase.**
```r
  data.table::setDT(res)[,HyperRank := cumsum(res$Hit)]
                          ^~~~~~~~~
```
[R/inference_hyperstatistic.R:176:36:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L176) *style:* **Variable and function names should be all lowercase.**
```r
  data.table::setDT(res)[Hit == 0, HyperRank := NA_integer_]
                                   ^~~~~~~~~
```
[R/inference_hyperstatistic.R:197:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L197) *style:* **lines should not be more than 80 characters.**
```r
  ## if we do the hypergeometric test on genes we need another grouping as for siRNAs
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_hyperstatistic.R:254:26:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L254) *style:* **Variable and function names should be all lowercase.**
```r
                         ScreenType, ReadoutType,
                         ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:254:38:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L254) *style:* **Variable and function names should be all lowercase.**
```r
                         ScreenType, ReadoutType,
                                     ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:256:26:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L256) *style:* **Variable and function names should be all lowercase.**
```r
                         GeneSymbol, Entrez) %>%
                         ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:268:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_hyperstatistic.R#L268) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(HitRatio >= hit.ratio)
                  ^~~~~~~~
```
[R/inference_lmm_fdr_ge.R:37:62:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_ge.R#L37) *style:* **Variable and function names should be all lowercase.**
```r
    dt <- data.table::data.table(GeneSymbol=ref$gene.effects$GeneSymbol,
                                                             ^~~~~~~~~~
```
[R/inference_lmm_fdr_ge.R:59:38:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_ge.R#L59) *style:* **Variable and function names should be all lowercase.**
```r
        GeneSymbol = re$gene.effects$GeneSymbol
                                     ^~~~~~~~~~
```
[R/inference_lmm_fdr_ge.R:90:31:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_ge.R#L90) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::group_by(btst.dat, GeneSymbol) %>%
                              ^~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:89:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L89) *style:* **Use <-, not =, for assignment.**
```r
  call = match.call()
       ^
```
[R/inference_lmm_fdr_gpe.R:106:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L106) *style:* **Use <-, not =, for assignment.**
```r
        med = median(zz)
            ^
```
[R/inference_lmm_fdr_gpe.R:107:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L107) *style:* **Use <-, not =, for assignment.**
```r
        ra = med + (1 - pct) * (range(zz) - med)
           ^
```
[R/inference_lmm_fdr_gpe.R:108:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L108) *style:* **Use <-, not =, for assignment.**
```r
        lo = ra[1]
           ^
```
[R/inference_lmm_fdr_gpe.R:109:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L109) *style:* **Use <-, not =, for assignment.**
```r
        up = ra[2]
           ^
```
[R/inference_lmm_fdr_gpe.R:146:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L146) *style:* **Use <-, not =, for assignment.**
```r
    fp0 = matrix(NA, 6, 4)
        ^
```
[R/inference_lmm_fdr_gpe.R:147:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L147) *style:* **Use <-, not =, for assignment.**
```r
    colnames(fp0) = c("delta", "sigleft", "p0", "sigright")
                  ^
```
[R/inference_lmm_fdr_gpe.R:150:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L150) *style:* **Use <-, not =, for assignment.**
```r
    fp0 = matrix(NA, 6, 3)
        ^
```
[R/inference_lmm_fdr_gpe.R:151:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L151) *style:* **Use <-, not =, for assignment.**
```r
    colnames(fp0) = c("delta", "sigma", "p0")
                  ^
```
[R/inference_lmm_fdr_gpe.R:153:17:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L153) *style:* **Use <-, not =, for assignment.**
```r
  rownames(fp0) = c("thest", "theSD", "mlest", "mleSD", "cmest",  "cmeSD")
                ^
```
[R/inference_lmm_fdr_gpe.R:154:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L154) *style:* **Use <-, not =, for assignment.**
```r
  fp0["thest", 1:2] = c(0, 1)
                    ^
```
[R/inference_lmm_fdr_gpe.R:155:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L155) *style:* **Use <-, not =, for assignment.**
```r
  fp0["theSD", 1:2] = 0
                    ^
```
[R/inference_lmm_fdr_gpe.R:181:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L181) *style:* **Use <-, not =, for assignment.**
```r
    cmerror = I(is.na(co[3]) | is.na(co[2]))
            ^
```
[R/inference_lmm_fdr_gpe.R:183:15:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L183) *style:* **Use <-, not =, for assignment.**
```r
      cmerror = I(co[2] >= 0 | co[2] + co[3] >= 0)
              ^
```
[R/inference_lmm_fdr_gpe.R:186:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L186) *style:* **Use <-, not =, for assignment.**
```r
    cmerror = is.na(co[3])
            ^
```
[R/inference_lmm_fdr_gpe.R:188:15:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L188) *style:* **Use <-, not =, for assignment.**
```r
      cmerror = I(co[3] >= 0)
              ^
```
[R/inference_lmm_fdr_gpe.R:218:5:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L218) *style:* **Use <-, not =, for assignment.**
```r
  b = 4.3 * exp(-0.26 * log(N, 10))
    ^
```
[R/inference_lmm_fdr_gpe.R:220:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L220) *style:* **Use <-, not =, for assignment.**
```r
    med = median(zz)
        ^
```
[R/inference_lmm_fdr_gpe.R:221:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L221) *style:* **Use <-, not =, for assignment.**
```r
    sc = diff(quantile(zz)[c(2, 4)])/(2 * stats::qnorm(0.75))
       ^
```
[R/inference_lmm_fdr_gpe.R:222:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L222) *style:* **Use <-, not =, for assignment.**
```r
    mlests = locmle(zz, xlim = c(med, b * sc))
           ^
```
[R/inference_lmm_fdr_gpe.R:224:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L224) *style:* **lines should not be more than 80 characters.**
```r
      warning("length(zz) > 500,000: For ML estimation, a wider interval than optimal was used.  To use the optimal interval, rerun with mlests = c(",
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:226:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L226) *style:* **Use <-, not =, for assignment.**
```r
      mlests = locmle(zz, xlim = c(med, sc))
             ^
```
[R/inference_lmm_fdr_gpe.R:231:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L231) *style:* **Use <-, not =, for assignment.**
```r
      b = 1
        ^
```
[R/inference_lmm_fdr_gpe.R:233:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L233) *style:* **Use <-, not =, for assignment.**
```r
      Cov.in = list(x = x, X = X, f = f, sw = sw)
             ^
```
[R/inference_lmm_fdr_gpe.R:234:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L234) *style:* **Use <-, not =, for assignment.**
```r
      ml.out = locmle(zz, xlim = c(mlests[1], b * mlests[2]),
             ^
```
[R/inference_lmm_fdr_gpe.R:236:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L236) *style:* **Use <-, not =, for assignment.**
```r
      mlests = ml.out$mle
             ^
```
[R/inference_lmm_fdr_gpe.R:238:17:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L238) *style:* **Use <-, not =, for assignment.**
```r
    else mlests = locmle(zz, xlim = c(mlests[1], b * mlests[2]),
                ^
```
[R/inference_lmm_fdr_gpe.R:240:23:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L240) *style:* **Use <-, not =, for assignment.**
```r
    fp0["mlest", 1:3] = mlests[1:3]
                      ^
```
[R/inference_lmm_fdr_gpe.R:241:23:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L241) *style:* **Use <-, not =, for assignment.**
```r
    fp0["mleSD", 1:3] = mlests[4:6]
                      ^
```
[R/inference_lmm_fdr_gpe.R:245:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L245) *style:* **lines should not be more than 80 characters.**
```r
                                                              2]/mlests[2])) > 0.05)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:246:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L246) *style:* **lines should not be more than 80 characters.**
```r
      warning("Discrepancy between central matching and maximum likelihood estimates.\nConsider rerunning with nulltype = 1")
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:256:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L256) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
           ^
```
[R/inference_lmm_fdr_gpe.R:256:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L256) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
                  ^
```
[R/inference_lmm_fdr_gpe.R:256:27:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L256) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
                          ^
```
[R/inference_lmm_fdr_gpe.R:257:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L257) *style:* **Use <-, not =, for assignment.**
```r
    sighat = mlests[2]
           ^
```
[R/inference_lmm_fdr_gpe.R:258:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L258) *style:* **Use <-, not =, for assignment.**
```r
    p0 = mlests[3]
       ^
```
[R/inference_lmm_fdr_gpe.R:259:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L259) *style:* **Use <-, not =, for assignment.**
```r
    f0 = stats::dnorm(x, delhat, sighat)
       ^
```
[R/inference_lmm_fdr_gpe.R:260:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L260) *style:* **Use <-, not =, for assignment.**
```r
    f0 = (sum(f) * f0)/sum(f0)
       ^
```
[R/inference_lmm_fdr_gpe.R:262:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L262) *style:* **Use <-, not =, for assignment.**
```r
  fdr = pmin((p0 * f0)/f, 1)
      ^
```
[R/inference_lmm_fdr_gpe.R:266:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L266) *style:* **Use <-, not =, for assignment.**
```r
  fp0["thest", 3] = p0theo
                  ^
```
[R/inference_lmm_fdr_gpe.R:278:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L278) *style:* **Use <-, not =, for assignment.**
```r
  else xxlo = xmax
            ^
```
[R/inference_lmm_fdr_gpe.R:281:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L281) *style:* **Use <-, not =, for assignment.**
```r
  else xxhi = xmax
            ^
```
[R/inference_lmm_fdr_gpe.R:286:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L286) *style:* **Use <-, not =, for assignment.**
```r
  else xxlo = xmax
            ^
```
[R/inference_lmm_fdr_gpe.R:289:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L289) *style:* **Use <-, not =, for assignment.**
```r
  else xxhi = xmax
            ^
```
[R/inference_lmm_fdr_gpe.R:293:66:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L293) *style:* **Use <-, not =, for assignment.**
```r
    fdr[x >= mlests[1] - mlests[2] & x <= mlests[1] + mlests[2]] = 1
                                                                 ^
```
[R/inference_lmm_fdr_gpe.R:294:67:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L294) *style:* **Use <-, not =, for assignment.**
```r
    fdr0[x >= mlests[1] - mlests[2] & x <= mlests[1] + mlests[2]] = 1
                                                                  ^
```
[R/inference_lmm_fdr_gpe.R:305:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L305) *style:* **lines should not be more than 80 characters.**
```r
                                                             fdr[ido]) * fall[ido])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:307:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L307) *style:* **lines should not be more than 80 characters.**
```r
                                                                fdr0[ido]) * fall[ido])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:309:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L309) *style:* **lines should not be more than 80 characters.**
```r
                                                              fdr[iup]) * fall[iup])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:311:1:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L311) *style:* **lines should not be more than 80 characters.**
```r
                                                                 fdr0[iup]) * fall[iup])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_fdr_gpe.R:313:28:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L313) *style:* **Use <-, not =, for assignment.**
```r
  Efdr[which(is.na(Efdr))] = 1
                           ^
```
[R/inference_lmm_fdr_gpe.R:320:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L320) *style:* **Use <-, not =, for assignment.**
```r
    mul = c(1, mult)
        ^
```
[R/inference_lmm_fdr_gpe.R:321:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L321) *style:* **Use <-, not =, for assignment.**
```r
    EE = rep(0, length(mul))
       ^
```
[R/inference_lmm_fdr_gpe.R:323:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L323) *style:* **Use <-, not =, for assignment.**
```r
      xe = sqrt(mul[m]) * x
         ^
```
[R/inference_lmm_fdr_gpe.R:324:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L324) *style:* **Use <-, not =, for assignment.**
```r
      f1e = approx(xe, f1, x, rule = 2, ties = mean)$y
          ^
```
[R/inference_lmm_fdr_gpe.R:325:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L325) *style:* **Use <-, not =, for assignment.**
```r
      f1e = (f1e * sum(f1))/sum(f1e)
          ^
```
[R/inference_lmm_fdr_gpe.R:326:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L326) *style:* **Use <-, not =, for assignment.**
```r
      f0e = f0
          ^
```
[R/inference_lmm_fdr_gpe.R:327:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L327) *style:* **Use <-, not =, for assignment.**
```r
      p0e = p0
          ^
```
[R/inference_lmm_fdr_gpe.R:329:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L329) *style:* **Use <-, not =, for assignment.**
```r
        f0e = f00
            ^
```
[R/inference_lmm_fdr_gpe.R:330:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L330) *style:* **Use <-, not =, for assignment.**
```r
        p0e = p0theo
            ^
```
[R/inference_lmm_fdr_gpe.R:332:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L332) *style:* **Use <-, not =, for assignment.**
```r
      fdre = (p0e * f0e)/(p0e * f0e + f1e)
           ^
```
[R/inference_lmm_fdr_gpe.R:333:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L333) *style:* **Use <-, not =, for assignment.**
```r
      EE[m] = sum(f1e * fdre)/sum(f1e)
            ^
```
[R/inference_lmm_fdr_gpe.R:335:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L335) *style:* **Use <-, not =, for assignment.**
```r
    EE = EE/EE[1]
       ^
```
[R/inference_lmm_fdr_gpe.R:336:15:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L336) *style:* **Use <-, not =, for assignment.**
```r
    names(EE) = mul
              ^
```
[R/inference_lmm_fdr_gpe.R:338:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L338) *style:* **Use <-, not =, for assignment.**
```r
  Cov2.out = loccov2(X, X0, i0, f, fp0["cmest", ], N)
           ^
```
[R/inference_lmm_fdr_gpe.R:339:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L339) *style:* **Use <-, not =, for assignment.**
```r
  Cov0.out = loccov2(X, matrix(1, length(x), 1), i0, f, fp0["thest",
           ^
```
[R/inference_lmm_fdr_gpe.R:343:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L343) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = Cov0.out$Ilfdr
            ^
```
[R/inference_lmm_fdr_gpe.R:345:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L345) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = ml.out$Ilfdr
            ^
```
[R/inference_lmm_fdr_gpe.R:347:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L347) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = Cov2.out$Ilfdr
            ^
```
[R/inference_lmm_fdr_gpe.R:352:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L352) *style:* **Use <-, not =, for assignment.**
```r
    Cov = Cov0.out$Cov
        ^
```
[R/inference_lmm_fdr_gpe.R:354:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L354) *style:* **Use <-, not =, for assignment.**
```r
    Cov = ml.out$Cov.lfdr
        ^
```
[R/inference_lmm_fdr_gpe.R:355:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L355) *style:* **Use <-, not =, for assignment.**
```r
  else Cov = Cov2.out$Cov
           ^
```
[R/inference_lmm_fdr_gpe.R:357:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L357) *style:* **Use <-, not =, for assignment.**
```r
  fp0["cmeSD", 1:3] = Cov2.out$stdev[c(2, 3, 1)]
                    ^
```
[R/inference_lmm_fdr_gpe.R:359:21:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L359) *style:* **Use <-, not =, for assignment.**
```r
    fp0["cmeSD", 4] = fp0["cmeSD", 2]
                    ^
```
[R/inference_lmm_fdr_gpe.R:360:19:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L360) *style:* **Use <-, not =, for assignment.**
```r
  fp0["theSD", 3] = Cov0.out$stdev[1]
                  ^
```
[R/inference_lmm_fdr_gpe.R:363:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L363) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["thest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_fdr_gpe.R:364:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L364) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["theSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_fdr_gpe.R:365:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L365) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(Cov0.out$pds.)
           ^
```
[R/inference_lmm_fdr_gpe.R:368:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L368) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["mlest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_fdr_gpe.R:369:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L369) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["mleSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_fdr_gpe.R:370:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L370) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(ml.out$pds.)
           ^
```
[R/inference_lmm_fdr_gpe.R:373:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L373) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["cmest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_fdr_gpe.R:374:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L374) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["cmeSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_fdr_gpe.R:375:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L375) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(Cov2.out$pds.)
           ^
```
[R/inference_lmm_fdr_gpe.R:378:20:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L378) *style:* **Use <-, not =, for assignment.**
```r
    colnames(pds.) = names(pds) = c("p0", "delhat", "sighat")
                   ^
```
[R/inference_lmm_fdr_gpe.R:378:33:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L378) *style:* **Use <-, not =, for assignment.**
```r
    colnames(pds.) = names(pds) = c("p0", "delhat", "sighat")
                                ^
```
[R/inference_lmm_fdr_gpe.R:379:18:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L379) *style:* **Use <-, not =, for assignment.**
```r
    names(stdev) = c("sdp0", "sddelhat", "sdsighat")
                 ^
```
[R/inference_lmm_fdr_gpe.R:396:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L396) *style:* **Use <-, not =, for assignment.**
```r
  z.2 = rep(NA, 2)
      ^
```
[R/inference_lmm_fdr_gpe.R:397:5:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L397) *style:* **Use <-, not =, for assignment.**
```r
  m = order(fd)[nx]
    ^
```
[R/inference_lmm_fdr_gpe.R:399:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L399) *style:* **Use <-, not =, for assignment.**
```r
    z.2[2] = stats::approx(fd[m:nx], x[m:nx], 0.2, ties = mean)$y
           ^
```
[R/inference_lmm_fdr_gpe.R:402:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L402) *style:* **Use <-, not =, for assignment.**
```r
    z.2[1] = stats::approx(fd[1:m], x[1:m], 0.2, ties = mean)$y
           ^
```
[R/inference_lmm_fdr_gpe.R:416:6:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L416) *style:* **Use <-, not =, for assignment.**
```r
  vl = list(fdr = ffdr, fp0 = fp0, Efdr = Efdr, cdf1 = cdf1,
     ^
```
[R/inference_lmm_fdr_gpe.R:419:13:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L419) *style:* **Use <-, not =, for assignment.**
```r
    vl$mult = EE
            ^
```
[R/inference_lmm_fdr_gpe.R:420:11:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L420) *style:* **Use <-, not =, for assignment.**
```r
  vl$call = call
          ^
```
[R/inference_lmm_fdr_gpe.R:431:5:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L431) *style:* **Use <-, not =, for assignment.**
```r
  N = length(z)
    ^
```
[R/inference_lmm_fdr_gpe.R:434:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L434) *style:* **Use <-, not =, for assignment.**
```r
      b = 1
        ^
```
[R/inference_lmm_fdr_gpe.R:435:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L435) *style:* **Use <-, not =, for assignment.**
```r
    else b = 4.3 * exp(-0.26 * log(N, 10))
           ^
```
[R/inference_lmm_fdr_gpe.R:436:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L436) *style:* **Use <-, not =, for assignment.**
```r
    xlim = c(median(z), b * diff(quantile(z)[c(2, 4)])/(2 *
         ^
```
[R/inference_lmm_fdr_gpe.R:439:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L439) *style:* **Use <-, not =, for assignment.**
```r
  aorig = xlim[1] - xlim[2]
        ^
```
[R/inference_lmm_fdr_gpe.R:440:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L440) *style:* **Use <-, not =, for assignment.**
```r
  borig = xlim[1] + xlim[2]
        ^
```
[R/inference_lmm_fdr_gpe.R:441:6:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L441) *style:* **Use <-, not =, for assignment.**
```r
  z0 = z[which(z >= aorig & z <= borig)]
     ^
```
[R/inference_lmm_fdr_gpe.R:442:6:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L442) *style:* **Use <-, not =, for assignment.**
```r
  N0 = length(z0)
     ^
```
[R/inference_lmm_fdr_gpe.R:443:5:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L443) *style:* **Use <-, not =, for assignment.**
```r
  Y = c(mean(z0), mean(z0^2))
    ^
```
[R/inference_lmm_fdr_gpe.R:444:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L444) *style:* **Use <-, not =, for assignment.**
```r
  that = N0/N
       ^
```
[R/inference_lmm_fdr_gpe.R:446:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L446) *style:* **Use <-, not =, for assignment.**
```r
    bet = c(d/s^2, -1/(2 * s^2))
        ^
```
[R/inference_lmm_fdr_gpe.R:447:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L447) *style:* **Use <-, not =, for assignment.**
```r
    aa = (aorig - d)/s
       ^
```
[R/inference_lmm_fdr_gpe.R:448:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L448) *style:* **Use <-, not =, for assignment.**
```r
    bb = (borig - d)/s
       ^
```
[R/inference_lmm_fdr_gpe.R:449:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L449) *style:* **Use <-, not =, for assignment.**
```r
    H0 = pnorm(bb) - pnorm(aa)
       ^
```
[R/inference_lmm_fdr_gpe.R:450:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L450) *style:* **Use <-, not =, for assignment.**
```r
    fa = dnorm(aa)
       ^
```
[R/inference_lmm_fdr_gpe.R:451:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L451) *style:* **Use <-, not =, for assignment.**
```r
    fb = dnorm(bb)
       ^
```
[R/inference_lmm_fdr_gpe.R:452:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L452) *style:* **Use <-, not =, for assignment.**
```r
    H1 = fa - fb
       ^
```
[R/inference_lmm_fdr_gpe.R:453:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L453) *style:* **Use <-, not =, for assignment.**
```r
    H2 = H0 + aa * fa - bb * fb
       ^
```
[R/inference_lmm_fdr_gpe.R:454:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L454) *style:* **Use <-, not =, for assignment.**
```r
    H3 = (2 + aa^2) * fa - (2 + bb^2) * fb
       ^
```
[R/inference_lmm_fdr_gpe.R:455:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L455) *style:* **Use <-, not =, for assignment.**
```r
    H4 = 3 * H0 + (3 * aa + aa^3) * fa - (3 * bb + bb^3) *
       ^
```
[R/inference_lmm_fdr_gpe.R:457:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L457) *style:* **Use <-, not =, for assignment.**
```r
    H = c(H0, H1, H2, H3, H4)
      ^
```
[R/inference_lmm_fdr_gpe.R:458:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L458) *style:* **Use <-, not =, for assignment.**
```r
    r = d/s
      ^
```
[R/inference_lmm_fdr_gpe.R:459:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L459) *style:* **Use <-, not =, for assignment.**
```r
    I = matrix(rep(0, 25), 5)
      ^
```
[R/inference_lmm_fdr_gpe.R:460:40:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L460) *style:* **Use <-, not =, for assignment.**
```r
    for (i in 0:4) I[i + 1, 0:(i + 1)] = choose(i, 0:i)
                                       ^
```
[R/inference_lmm_fdr_gpe.R:461:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L461) *style:* **Use <-, not =, for assignment.**
```r
    u1 = s^(0:4)
       ^
```
[R/inference_lmm_fdr_gpe.R:462:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L462) *style:* **Use <-, not =, for assignment.**
```r
    II = pmax(row(I) - col(I), 0)
       ^
```
[R/inference_lmm_fdr_gpe.R:463:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L463) *style:* **Use <-, not =, for assignment.**
```r
    II = r^II
       ^
```
[R/inference_lmm_fdr_gpe.R:464:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L464) *style:* **Use <-, not =, for assignment.**
```r
    I = u1 * (I * II)
      ^
```
[R/inference_lmm_fdr_gpe.R:465:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L465) *style:* **Use <-, not =, for assignment.**
```r
    E = as.vector(I %*% H)/H0
      ^
```
[R/inference_lmm_fdr_gpe.R:466:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L466) *style:* **Use <-, not =, for assignment.**
```r
    E1 = E[2]
       ^
```
[R/inference_lmm_fdr_gpe.R:467:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L467) *style:* **Use <-, not =, for assignment.**
```r
    E2 = E[3]
       ^
```
[R/inference_lmm_fdr_gpe.R:468:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L468) *style:* **Use <-, not =, for assignment.**
```r
    E3 = E[4]
       ^
```
[R/inference_lmm_fdr_gpe.R:469:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L469) *style:* **Use <-, not =, for assignment.**
```r
    E4 = E[5]
       ^
```
[R/inference_lmm_fdr_gpe.R:470:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L470) *style:* **Use <-, not =, for assignment.**
```r
    mu = c(E1, E2)
       ^
```
[R/inference_lmm_fdr_gpe.R:471:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L471) *style:* **Use <-, not =, for assignment.**
```r
    V = matrix(c(E2 - E1^2, E3 - E1 * E2, E3 - E1 * E2, E4 -
      ^
```
[R/inference_lmm_fdr_gpe.R:473:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L473) *style:* **Use <-, not =, for assignment.**
```r
    bett = bet + solve(V, Y - mu)/(1 + 1/j^2)
         ^
```
[R/inference_lmm_fdr_gpe.R:475:12:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L475) *style:* **Use <-, not =, for assignment.**
```r
      bett = bet + 0.1 * solve(V, Y - mu)/(1 + 1/j^2)
           ^
```
[R/inference_lmm_fdr_gpe.R:480:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L480) *style:* **Use <-, not =, for assignment.**
```r
    d = -bett[1]/(2 * bett[2])
      ^
```
[R/inference_lmm_fdr_gpe.R:481:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L481) *style:* **Use <-, not =, for assignment.**
```r
    s = 1/sqrt(-2 * bett[2])
      ^
```
[R/inference_lmm_fdr_gpe.R:486:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L486) *style:* **Use <-, not =, for assignment.**
```r
    mle = rep(NA, 6)
        ^
```
[R/inference_lmm_fdr_gpe.R:487:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L487) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = NA
             ^
```
[R/inference_lmm_fdr_gpe.R:488:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L488) *style:* **Use <-, not =, for assignment.**
```r
    Cor = matrix(NA, 3, 3)
        ^
```
[R/inference_lmm_fdr_gpe.R:491:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L491) *style:* **Use <-, not =, for assignment.**
```r
    mle = rep(NA, 6)
        ^
```
[R/inference_lmm_fdr_gpe.R:492:14:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L492) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = Cov.out = NA
             ^
```
[R/inference_lmm_fdr_gpe.R:492:24:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L492) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = Cov.out = NA
                       ^
```
[R/inference_lmm_fdr_gpe.R:493:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L493) *style:* **Use <-, not =, for assignment.**
```r
    Cor = matrix(NA, 3, 3)
        ^
```
[R/inference_lmm_fdr_gpe.R:496:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L496) *style:* **Use <-, not =, for assignment.**
```r
    aa = (aorig - d)/s
       ^
```
[R/inference_lmm_fdr_gpe.R:497:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L497) *style:* **Use <-, not =, for assignment.**
```r
    bb = (borig - d)/s
       ^
```
[R/inference_lmm_fdr_gpe.R:498:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L498) *style:* **Use <-, not =, for assignment.**
```r
    H0 = pnorm(bb) - pnorm(aa)
       ^
```
[R/inference_lmm_fdr_gpe.R:499:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L499) *style:* **Use <-, not =, for assignment.**
```r
    p0 = that/H0
       ^
```
[R/inference_lmm_fdr_gpe.R:500:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L500) *style:* **Use <-, not =, for assignment.**
```r
    J = s^2 * matrix(c(1, 0, 2 * d, s), 2)
      ^
```
[R/inference_lmm_fdr_gpe.R:501:8:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L501) *style:* **Use <-, not =, for assignment.**
```r
    JV = J %*% solve(V)
       ^
```
[R/inference_lmm_fdr_gpe.R:502:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L502) *style:* **Use <-, not =, for assignment.**
```r
    JVJ = JV %*% t(J)
        ^
```
[R/inference_lmm_fdr_gpe.R:503:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L503) *style:* **Use <-, not =, for assignment.**
```r
    mat2 = cbind(0, JVJ/N0)
         ^
```
[R/inference_lmm_fdr_gpe.R:504:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L504) *style:* **Use <-, not =, for assignment.**
```r
    mat1 = c((p0 * H0 * (1 - p0 * H0))/N, 0, 0)
         ^
```
[R/inference_lmm_fdr_gpe.R:505:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L505) *style:* **Use <-, not =, for assignment.**
```r
    mat = rbind(mat1, mat2)
        ^
```
[R/inference_lmm_fdr_gpe.R:506:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L506) *style:* **Use <-, not =, for assignment.**
```r
    h = c(H1/H0, (H2 - H0)/H0)
      ^
```
[R/inference_lmm_fdr_gpe.R:507:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L507) *style:* **Use <-, not =, for assignment.**
```r
    matt = c(1/H0, -(p0/s) * t(h))
         ^
```
[R/inference_lmm_fdr_gpe.R:508:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L508) *style:* **Use <-, not =, for assignment.**
```r
    matt = rbind(matt, cbind(0, diag(2)))
         ^
```
[R/inference_lmm_fdr_gpe.R:509:7:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L509) *style:* **Use <-, not =, for assignment.**
```r
    C = matt %*% (mat %*% t(matt))
      ^
```
[R/inference_lmm_fdr_gpe.R:510:9:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L510) *style:* **Use <-, not =, for assignment.**
```r
    mle = c(p0, d, s, diag(C)^0.5)
        ^
```
[R/inference_lmm_fdr_gpe.R:512:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L512) *style:* **Use <-, not =, for assignment.**
```r
      sd = mle[4:6]
         ^
```
[R/inference_lmm_fdr_gpe.R:513:10:](https://github.com/dirmeier/knockout/blob/b192cdec53eb5f7c4e0466cec5dfa84040461567/R/inference_lmm_fdr_gpe.R#L513) *style:* **Use <-, not =, for assignment.**
```r
      Co = C/outer(sd, sd)
         ^
```


Here it could get interestin, with updated Sphinx for Pike, as an illustration this could be an example of the deps update, in a separate commit on top of this one:

+ cloud7-openstack-pike-testing: python-sphinx-1.5.2-2.el7


You're relentless.


Thanks for the feedback. Got this fixed in 8adbafd9194e839acf23c95395e53dc407fe8d7a


Oh yeah, let me clean this up!


wystarcza 3 wartosci - brzegowe i srodkowa, kolejne nic nie wnosza


recordar que al indicar el espacio del trabajo debemos utilizar un lenguaje con el que el markdown pueda trabajar , es decir

df <- read.csv('observaciones_tope.csv')
View(df)


test mowi o testowaniu maxa a jest testowany min


0.132 simulation time for wall time 1 hour

origion 0.088 for 1 hour


It will work.  But, I switched to using InteropExtensions.CopyToManaged, which is the code path that Marshal.Copy goes through so that I don't have to change the parameters.  I am going for lower test cost and higher confidence that I got it right.


/me facepalm


Fixes issue #5


Hey @cdeutsch! Do you mind submitting a pull request? I'd love to add these awesome events to the app!


No,  top-app is in aosp code too, and it's absolutely needed, task with highest priority needs this group in order to set properly the schedtune.boost value and handle correctly power hints.. Also the power HAL doesn't work properly removing top-app group, and 90% of cpu boost hints aren't applied..!


Also - if you were having trouble logging in with an iOS simulator, there was a "Feature" introduced in iOS10 that prevented simulators from accessing the iOS Keychain without the proper entitlements.

I fixed that in this commit
https://github.com/brminnick/UITestSampleApp/commit/413d0600a308056d900b362b05b539607adeae3a


Hi Mohammed


This could be merged back to master repo if you create PR.


oh ok then .those stuffs seems deep for me :)
everything is fine except the random cpu load/max freq :( i cant understand whats going on ...same issue since Lollipop roms...


But you got CoreRT/CoreCLR specific ifdef instead that is long term cost.

If you really want to keep calling Marshal.Copy here, you should instead add a forwarder to the internal CoreLib Marshal class in `System.Private.CoreLib\src\Interop\Interop.manual.cs` and remove the ifdef here.


This could be merger to master role if you create PR for it.


taki komentarz bedzie irytowal kazdego programiste ktory tak nie robi:)


FYI I've changed this in the next release. To /etc/haproxy/Haproxy.cfg


yes, but this path is wrong. the right path is `me.id.webverify/CHANGELOG.md`


Tak przeglądam w wolnej, chwili, pewnie zwrócę uwagę w Pull requescie, ale co do Log4J. Fajnie logować rzeczy z .info ale osobiście myślę że dla mnie ważniejsze będzie logi z warnem czy errorem, więc warto dorzucić tutaj w linii 92/98 że konto już istnieje ;)

Ale prawdopodobnie w wolnej chwili, jak będzie więcej kodu. Pologuję co istotne.


[autoit to implement downloaduplaod.txt](https://github.com/diwakar1987/diwakar/files/877152/autoit.to.implement.downloaduplaod.txt)

[how to handle windows based popups.txt](https://github.com/diwakar1987/diwakar/files/877155/how.to.handle.windows.based.popups.txt)
[how to know if checkbox is checked or not in webpage.txt](https://github.com/diwakar1987/diwakar/files/877153/how.to.know.if.checkbox.is.checked.or.not.in.webpage.txt)
[how to select items from dropdownselect box.txt](https://github.com/diwakar1987/diwakar/files/877154/how.to.select.items.from.dropdownselect.box.txt)
[how to set language while opening website.txt](https://github.com/diwakar1987/diwakar/files/877156/how.to.set.language.while.opening.website.txt)

[Selenium grid, how to execute scripts on multiple browser.txt](https://github.com/diwakar1987/diwakar/files/877157/Selenium.grid.how.to.execute.scripts.on.multiple.browser.txt)
[tell me code to pass values from parent window to child window.txt](https://github.com/diwakar1987/diwakar/files/877159/tell.me.code.to.pass.values.from.parent.window.to.child.window.txt)
[Write code for dragdrop in selenium.txt](https://github.com/diwakar1987/diwakar/files/877160/Write.code.for.dragdrop.in.selenium.txt)
[Write code for right click in seelnium.txt](https://github.com/diwakar1987/diwakar/files/877158/Write.code.for.right.click.in.seelnium.txt)
[Write code fro scroll to specific element.txt](https://github.com/diwakar1987/diwakar/files/877161/Write.code.fro.scroll.to.specific.element.txt)
[write code on how to use javascriptexecutor.txt](https://github.com/diwakar1987/diwakar/files/877162/write.code.on.how.to.use.javascriptexecutor.txt)
[write code to find out if all links are working or not.txt](https://github.com/diwakar1987/diwakar/files/877163/write.code.to.find.out.if.all.links.are.working.or.not.txt)
[write code to verify any application login page is working or not.txt](https://github.com/diwakar1987/diwakar/files/877164/write.code.to.verify.any.application.login.page.is.working.or.not.txt)


Note: New test data generator example accidentally leaked into this change. Keeping in repo.


jak rezygnujesz z rozdzielenia komentarzami given/when/then - ok ale zachowaj konwencje poprzez rozdzielenie pustymi liniami


kind of :(
![200w](https://cloud.githubusercontent.com/assets/25307321/24428961/976f810a-13bc-11e7-9dd5-7b1ee5d3de3a.gif)


Bluemix [toolchain](https://console.ng.bluemix.net/devops/toolchains/796793bb-fc0f-4fe6-99f9-f7bd31c31a31 "serverquiz2"): [Delivery Pipeline](https://console.ng.bluemix.net/devops/pipelines/c96aaaf8-b52b-4774-a3ca-8aaefd6cb092 "serverquiz2") deployed this commit to [test](https://console.ng.bluemix.net/apps/58674aad-b12e-47ae-ad6d-4a98bcaefca8 "ibm:yp:us-south:kalle.kindvall@ibm.com:test")


Thanks a lot :)


i really dont know what to do here


Did you think about using JQuery 3? You don't have to switch to it, but you certainly can. I'm good with either.


:))

Buna birlikte bir bakalım, zamanı geldi.


3 elementy wystarcza - brzegowe i srodkowy, dodanie pozostalych jak nie wnosi nic nowego jest zbedne


I lessened the smoothing that mason was doing, so it will be faster but less stable, that is always a tradeoff without a gyro. The magnetometer is just too noise.

Not sure what is the point of difference with Sky Hammer


pin variableına değer assign ettin mi veya etmek gerekiyor mu nasıl oluyor tam anlamadım :thinking:


But are you trying to port eas on some other device? This change works only if you enabled eas, otherwise is unuseful, if schedtune is not enabled that cgroups are not used


develop (evanweaver) - x86_64-MacOS-10.10-clang: Build Failed

![Build Badge](http://img.shields.io/badge/build%20status-failing-red.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-NA-red.png)


Yes, today I done the most of work, in the next few days I must try and set all this new load values.
Thanks for this feed, it's a good start point.


ten test nie wnosi nic nowego


Dat commit message


lepiej arrayConverter, m nic nie wnosi