plot_biplot: Biplot representation of a pca analysis
In leandroroser/RNASeqFunctions: Several functions for rna-seq analysis
Description
Biplot representation of a pca analysis
Usage
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plot_biplot(x, ax1 = 1, ax2 = 2, scale_arrow = 0.2, length_tip = 0.05,
lwd = 0.5, point_col = "#FF9999", arr_col = "#066500",
label_col = "#69CD80", font_col = "white", arr_size = 0.2,
point_pch = 16, point_alpha = 0.95, point_size = 2.3,
segment.color = "#69CD80", input = c("do_PCA", "dudi.pca"), ...)
Arguments
x
result of do_PCA
ax1
axis 1 to plot
ax2
axis 2 to plot
leandroroser/RNASeqFunctions documentation built on May 17, 2019, 7:31 p.m.
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Description
Biplot representation of a pca analysis
Usage
1 2 3 4 5 | plot_biplot(x, ax1 = 1, ax2 = 2, scale_arrow = 0.2, length_tip = 0.05,
lwd = 0.5, point_col = "#FF9999", arr_col = "#066500",
label_col = "#69CD80", font_col = "white", arr_size = 0.2,
point_pch = 16, point_alpha = 0.95, point_size = 2.3,
segment.color = "#69CD80", input = c("do_PCA", "dudi.pca"), ...)
|
Arguments
x |
result of do_PCA |
ax1 |
axis 1 to plot |
ax2 |
axis 2 to plot |
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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