ggpca: Principal component analysis and plotting of data
In AlexanderKirchmair/datamisc: Various functions for data handling
View source: R/plotting_functions.R
ggpca R Documentation
Principal component analysis and plotting of data
Description
Quick plotting of PCA results.
For advanced analysis, see e.g. browseVignettes("PCAtools").
Usage
ggpca(
data,
design = NULL,
mapping = ggplot2::aes(),
center = TRUE,
scale = TRUE,
na = NULL,
n = NULL,
label = FALSE,
digits = 2,
colors = NULL,
size = 3.5,
return_data = FALSE,
...
)
Arguments
...
AlexanderKirchmair/datamisc documentation built on June 13, 2025, 5:26 a.m.
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View source: R/plotting_functions.R
| ggpca | R Documentation |
Principal component analysis and plotting of data
Description
Quick plotting of PCA results. For advanced analysis, see e.g. browseVignettes("PCAtools").
Usage
ggpca(
data,
design = NULL,
mapping = ggplot2::aes(),
center = TRUE,
scale = TRUE,
na = NULL,
n = NULL,
label = FALSE,
digits = 2,
colors = NULL,
size = 3.5,
return_data = FALSE,
...
)
Arguments
... |
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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