getPCAexplained: getPCAexplained
In debrowser: Interactive Differential Expresion Analysis Browser
Description
Usage
Arguments
Value
Examples
Description
Creates a more detailed plot using the PCA results from
the selected dataset.
Usage
1
getPCAexplained(datasetInput = NULL, pca_data = NULL, input = NULL)
Arguments
datasetInput,
selected data
pca_data,
from user
input,
input params
Value
explained plot
Examples
1
2
3
4
5
6
7
load(system.file("extdata", "demo", "demodata.Rda", package="debrowser"))
input<-c()
input$qcplot<-"pca"
input$col_list<-colnames(demodata[,1:6])
dat <- getNormalizedMatrix(demodata[,1:6])
pca_data <- run_pca(dat)
x <- getPCAexplained(dat, pca_data, input)
debrowser documentation built on Dec. 18, 2020, 2 a.m.
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Description Usage Arguments Value Examples
Description
Creates a more detailed plot using the PCA results from the selected dataset.
Usage
1 | getPCAexplained(datasetInput = NULL, pca_data = NULL, input = NULL)
|
Arguments
datasetInput, |
selected data |
pca_data, |
from user |
input, |
input params |
Value
explained plot
Examples
1 2 3 4 5 6 7 | load(system.file("extdata", "demo", "demodata.Rda", package="debrowser"))
input<-c()
input$qcplot<-"pca"
input$col_list<-colnames(demodata[,1:6])
dat <- getNormalizedMatrix(demodata[,1:6])
pca_data <- run_pca(dat)
x <- getPCAexplained(dat, pca_data, input)
|
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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