... | ... |
@@ -1,5 +1,5 @@ |
1 | 1 |
% Generated by roxygen2: do not edit by hand |
2 |
-% Please edit documentation in R/Downsample.Matrix.R |
|
2 |
+% Please edit documentation in R/DownsampleMatrix.R |
|
3 | 3 |
\name{calcEffectSizes} |
4 | 4 |
\alias{calcEffectSizes} |
5 | 5 |
\title{Finds the effect sizes for all genes in the original dataset, regardless of |
... | ... |
@@ -22,8 +22,8 @@ Finds the effect sizes for all genes in the original dataset, regardless of |
22 | 22 |
significance. |
23 | 23 |
} |
24 | 24 |
\examples{ |
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-data("mouse_brain_subset_sce") |
|
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-res <- calcEffectSizes(assay(mouse_brain_subset_sce, "counts"), |
|
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- condition = colData(mouse_brain_subset_sce)[, "level1class"]) |
|
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+data("mouseBrainSubsetSCE") |
|
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+res <- calcEffectSizes(assay(mouseBrainSubsetSCE, "counts"), |
|
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+ condition = colData(mouseBrainSubsetSCE)[, "level1class"]) |
|
28 | 28 |
|
29 | 29 |
} |
... | ... |
@@ -22,8 +22,8 @@ Finds the effect sizes for all genes in the original dataset, regardless of |
22 | 22 |
significance. |
23 | 23 |
} |
24 | 24 |
\examples{ |
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-data("GSE60361_subset_sce") |
|
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-res <- calcEffectSizes(assay(GSE60361_subset_sce, "counts"), |
|
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- condition = colData(GSE60361_subset_sce)[, "level1class"]) |
|
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+data("mouse_brain_subset_sce") |
|
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+res <- calcEffectSizes(assay(mouse_brain_subset_sce, "counts"), |
|
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+ condition = colData(mouse_brain_subset_sce)[, "level1class"]) |
|
28 | 28 |
|
29 | 29 |
} |
... | ... |
@@ -21,3 +21,9 @@ A vector of cohen's d effect sizes for each gene. |
21 | 21 |
Finds the effect sizes for all genes in the original dataset, regardless of |
22 | 22 |
significance. |
23 | 23 |
} |
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+\examples{ |
|
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+data("GSE60361_subset_sce") |
|
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+res <- calcEffectSizes(assay(GSE60361_subset_sce, "counts"), |
|
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+ condition = colData(GSE60361_subset_sce)[, "level1class"]) |
|
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+ |
|
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+} |
... | ... |
@@ -2,18 +2,22 @@ |
2 | 2 |
% Please edit documentation in R/Downsample.Matrix.R |
3 | 3 |
\name{calcEffectSizes} |
4 | 4 |
\alias{calcEffectSizes} |
5 |
-\title{Finds the effect sizes for all genes in the original dataset, regardless of significance.} |
|
5 |
+\title{Finds the effect sizes for all genes in the original dataset, regardless of |
|
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+significance.} |
|
6 | 7 |
\usage{ |
7 | 8 |
calcEffectSizes(countMatrix, condition) |
8 | 9 |
} |
9 | 10 |
\arguments{ |
10 | 11 |
\item{countMatrix}{Matrix. A simulated counts matrix, sans labels.} |
11 | 12 |
|
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-\item{condition}{Factor. The condition labels for the simulated cells. If more than 2 conditions are given, the first will be compared to all others by default.} |
|
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+\item{condition}{Factor. The condition labels for the simulated cells. If |
|
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+more than 2 conditions are given, the first will be compared to all others by |
|
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+default.} |
|
13 | 16 |
} |
14 | 17 |
\value{ |
15 | 18 |
A vector of cohen's d effect sizes for each gene. |
16 | 19 |
} |
17 | 20 |
\description{ |
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-Finds the effect sizes for all genes in the original dataset, regardless of significance. |
|
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+Finds the effect sizes for all genes in the original dataset, regardless of |
|
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+significance. |
|
19 | 23 |
} |
1 | 1 |
new file mode 100644 |
... | ... |
@@ -0,0 +1,19 @@ |
1 |
+% Generated by roxygen2: do not edit by hand |
|
2 |
+% Please edit documentation in R/Downsample.Matrix.R |
|
3 |
+\name{calcEffectSizes} |
|
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+\alias{calcEffectSizes} |
|
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+\title{Finds the effect sizes for all genes in the original dataset, regardless of significance.} |
|
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+\usage{ |
|
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+calcEffectSizes(countMatrix, condition) |
|
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+} |
|
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+\arguments{ |
|
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+\item{countMatrix}{Matrix. A simulated counts matrix, sans labels.} |
|
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+ |
|
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+\item{condition}{Factor. The condition labels for the simulated cells. If more than 2 conditions are given, the first will be compared to all others by default.} |
|
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+} |
|
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+\value{ |
|
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+A vector of cohen's d effect sizes for each gene. |
|
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+} |
|
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+\description{ |
|
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+Finds the effect sizes for all genes in the original dataset, regardless of significance. |
|
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+} |