Description Usage Arguments Details Value Author(s) References Examples
View source: R/normalization.boxplot.R
Boxplot of the "log(ar+1)" transform of the data before and after the statistical functional depth based normalization. This is commonly carried out to show the adequacy of the procedure.
1 2 3 4 5 6 7 8 9 10 | normalization.boxplot(
ar,
namesN = T,
before = F,
after = T,
par.r = F,
par.c = F,
arg1 = "Before",
arg2 = "After"
)
|
ar |
Cell files from Affy micrarray experiment: a matrix where the columns are the sample elements, RNA-seq or microarray, and the rows the variables (the genes). |
namesN |
If TRUE, the labels of each RNA-seq's or microarray are substituted by a number corresponding to its position in data matrix. The default is TRUE. |
before |
If TRUE, the "log(ar+1)" transform of the data before the normalization step is plotted. The default is FALSE. |
after |
If TRUE, the "log(ar+1)" transform of the data after the normalization step is plotted. The default is TRUE. |
par.r |
If TRUE, and both "before" and "after" are also TRUE, the "before" and "after" boxplots are displayed in a row. The default is FALSE. |
par.c |
IIf TRUE, and both "before" and "after" are also TRUE, the "before" and "after" boxplots are displayed in a column. The default is FALSE. |
arg1 |
Overall title for the boxplot before the normalization step. The default is Before. |
arg2 |
Overall title for the boxplot after the normalization step. The default is After. |
Boxplot of the "log(ar+1)" transform of the data before and after the normalization step. This is commonly carried out to show the adequacy of the procedure.
The boxplot of the "log( +1)" transform of the data before and/or after the normalization step.
A. Nieto and J. Cabrera
Nieto-Reyes A, Cabrera J. Statistical depth based normalization and outlier detection of gene expression data. Preprint.
1 2 3 4 5 6 7 | ## Computes the normalization of the RNA-seq's in the Airway dataset.
N = normalization(Airway)
## Displays in a row the boxplots of the "log(+1)" transform
## of the data before and after normalization.
normalization.boxplot(Airway, before = TRUE, par.r = TRUE)
|
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