| write.fit {limma} | R Documentation |
Write a microarray linear model fit to a file.
write.fit(fit, results=NULL, file, digits=3, adjust="none", method="separate", F.adjust="none", sep="\t", ...)
fit |
object of class MArrayLM containing the results of a linear model fit |
results |
object of class TestResults |
file |
character string giving name of file |
digits |
integer indicating precision to be used |
adjust |
character string specifying multiple-testing adjustment method for the t-statistic P-values, e.g., "BH". See p.adjust for the available options. If NULL or "none" then the P-values are not adjusted. |
method |
character string, should the P-value adjustment be "global" or "separate" for each contrast. |
F.adjust |
character string specifying adjustment method for the F-statistic P-values. |
sep |
the field separator string. Values in the output file will be separated by this string. |
... |
other arguments are passed to write.table |
This function writes a tab-delimited text file containing for each gene (1) the average log-intensity, (2) the log-ratios, (3) moderated t-statistics, (4) t-statistic P-values, (5) F-statistic if available, (6) F-statistic P-values if available, (7) classification if available and (8) gene names and annotation.
No value is produced but a file is written to the current working directory.
Gordon Smyth
write in the base library.
An overview of linear model functions in limma is given by 06.LinearModels.