QQplot_data: Creating QQ-Plot for a dataset
In lfproQC: Quality Control for Label-Free Proteomics Expression Data
QQplot_data R Documentation
Creating QQ-Plot for a dataset
Description
A Q–Q plot (quantile-quantile plot) is a plot of the quantiles of two distributions against each other, or a plot based on estimates of the quantiles.
The normality of the data can be understand by this plot.
Usage
QQplot_data(data)
Arguments
data
Proteomics expression dataset (original or normalized dataset)
Details
This can be used for comparing the original dataset with the
normalized dataset.
Value
Interactive column-wise QQ-plot
Examples
qqplot <- QQplot_data(rlr_knn_yeast_data)
lfproQC documentation built on Oct. 10, 2024, 5:06 p.m.
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| QQplot_data | R Documentation |
Creating QQ-Plot for a dataset
Description
A Q–Q plot (quantile-quantile plot) is a plot of the quantiles of two distributions against each other, or a plot based on estimates of the quantiles. The normality of the data can be understand by this plot.
Usage
QQplot_data(data)
Arguments
data |
Proteomics expression dataset (original or normalized dataset) |
Details
This can be used for comparing the original dataset with the normalized dataset.
Value
Interactive column-wise QQ-plot
Examples
qqplot <- QQplot_data(rlr_knn_yeast_data)
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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