View source: R/normalize_transform.R
transform_counts | R Documentation |
the add argument is only important if the data was previously cpm'd because that does a +1, thus this will avoid a double+1 on the data.
transform_counts(count_table, design = NULL, method = "raw", base = NULL, ...)
count_table |
Matrix of count data |
design |
Sometimes the experimental design is also required. |
method |
Type of transformation to perform: log2/log10/log. |
base |
Other log scales? |
... |
Options I might pass from other functions are dropped into arglist. |
dataframe of transformed counts.
[limma]
## Not run:
filtered_table = transform_counts(count_table, transform='log2', converted='cpm')
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.