scr: Replacing values above ct to NA
In MiRAnorm: Adaptive Normalization for miRNA Data
Description
scr screens the dataset in wide format according to Ct threshold and missing.percent.thresh (for each gene, the percentage of samples is missing).
sets all values above Ct threshold to NA and then removes all rows of genes with number of missing above missing.percent.thresh.
Usage
1
scr(dat, threshold, missing.percent.thresh)
Arguments
dat
the dataset with rows = Genes and columns = Samples.
threshold
Ct value at or above which all values are set to NA.
missing.percent.thresh
a number between 0 to 100 denoting the percentage of allowable missing. If the percentage of missing is greater than this value, the row (gene) is not retained.
MiRAnorm documentation built on May 1, 2019, 7:12 p.m.
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Description
scr screens the dataset in wide format according to Ct threshold and missing.percent.thresh (for each gene, the percentage of samples is missing).
sets all values above Ct threshold to NA and then removes all rows of genes with number of missing above missing.percent.thresh.
Usage
1 | scr(dat, threshold, missing.percent.thresh)
|
Arguments
dat |
the dataset with rows = Genes and columns = Samples. |
threshold |
Ct value at or above which all values are set to NA. |
missing.percent.thresh |
a number between 0 to 100 denoting the percentage of allowable missing. If the percentage of missing is greater than this value, the row (gene) is not retained. |
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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