generateBoxplot: Generate boxplots of TMB distribution versus clinical...
In acc-bioinfo/TMBleR: Tumor Mutational Burden Quantification From Gene Panels And WES
Description
Usage
Arguments
Value
Examples
View source: R/generateBoxplot.R
Description
This function generates boxplots representing the distribution of TMB
values between immunotherapy responders and nonresponders.
Usage
1
generateBoxplot(TMB_clinical)
Arguments
TMB_clinical
dataframe generated by annotateTMB()
Value
boxplot
Examples
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#' # Import datasets
data(TMB_VanAllen)
data("VanAllen_Clinical")
# Annotate TMB with clinical reponse
TMB_clincal_response <- annotateTMB(TMB_df = TMB_VanAllen, ClinicalData = VanAllen_Clinical )
# generate plot
generateBoxplot(TMB_clincal_response)
acc-bioinfo/TMBleR documentation built on Dec. 18, 2021, 10:21 p.m.
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Description Usage Arguments Value Examples
View source: R/generateBoxplot.R
Description
This function generates boxplots representing the distribution of TMB values between immunotherapy responders and nonresponders.
Usage
1 | generateBoxplot(TMB_clinical)
|
Arguments
TMB_clinical |
dataframe generated by annotateTMB() |
Value
boxplot
Examples
1 2 3 4 5 6 7 8 | #' # Import datasets
data(TMB_VanAllen)
data("VanAllen_Clinical")
# Annotate TMB with clinical reponse
TMB_clincal_response <- annotateTMB(TMB_df = TMB_VanAllen, ClinicalData = VanAllen_Clinical )
# generate plot
generateBoxplot(TMB_clincal_response)
|
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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