write.fit {limma} | R Documentation |
Write a microarray linear model fit to a file.
write.fit(fit, results = NULL, file, digits = NULL, adjust = "none", method = "separate", F.adjust = "none", quote = FALSE, sep = "\t", row.names = TRUE, ...)
fit |
object of class |
results |
object of class |
file |
character string giving name of file |
digits |
integer indicating rounding precision for output values. If |
adjust |
character string specifying multiple-testing adjustment method for the t-statistic P-values, e.g., |
method |
character string, should the P-value adjustment be |
F.adjust |
character string specifying adjustment method for the F-statistic P-values. |
quote |
logical. If |
sep |
the field separator string. Values in the output file will be separated by this string. |
row.names |
logical, whether to include row names in output file. |
... |
other arguments are passed to |
This function writes a tab-delimited text file containing for each gene (1) the average log2-intensity, (2) the coefficients or contrasts (log2-fold-changes), (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.table
in the base library.
An overview of linear model functions in limma is given by 06.LinearModels.