plottingPCA: plottingPCA
In tschauer/HelpersforDESeq2: This is a collection of helper functions for DESeq2
Description
PCA analysis and plotting based on read counts
Usage
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plottingPCA(
my_data,
xcomp = 1,
ycomp = 2,
conditions,
pca_colors = c("#999999", "#0072B2", "#CC79A7", "#009E73", "#E69F00", "#D55E00",
"#56B4E9", "#F0E442"),
main_title = "PCA",
quantiles = c(0, 1),
show_labels = TRUE,
point_size = 1.1,
my_xlimits = c(-100, 100),
my_ylimits = c(-100, 100)
)
tschauer/HelpersforDESeq2 documentation built on Nov. 11, 2021, 3:10 a.m.
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Description
PCA analysis and plotting based on read counts
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | plottingPCA(
my_data,
xcomp = 1,
ycomp = 2,
conditions,
pca_colors = c("#999999", "#0072B2", "#CC79A7", "#009E73", "#E69F00", "#D55E00",
"#56B4E9", "#F0E442"),
main_title = "PCA",
quantiles = c(0, 1),
show_labels = TRUE,
point_size = 1.1,
my_xlimits = c(-100, 100),
my_ylimits = c(-100, 100)
)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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