View source: R/genes-meta-analyses.R
wrap.compute_permuted_corQ_save | R Documentation |
Wrapper to run the random shuffling of the gene correlation as several jobs on LSF
wrap.compute_permuted_corQ_save(DF1, DF2, method, out.df1, out.df2,
repTimes, seed, nJobs, save = TRUE,
importPath = "~mitra/homeshare/R321/ebits", ...)
DF1 |
numeric data.frame for the first study |
DF2 |
numeric data.frame for the second study |
method |
a character string indicating which correlation coefficient is to be computed. One of "pearson", "spearman", "kendall". |
out.df1 |
character string. Label for the first study. Part of the filename. |
out.df2 |
character string. Label for the second study. Part of the filename. |
repTimes |
positive integer. Number of randomisation to create. e.g. 10,000 |
seed |
random seed to maintain repeatability |
nJobs |
positive integer. Number of simultaneous jobs. |
save |
boolean. Default: TRUE. The function tries to save in any case, this argument defines if there is already a file with the same name if it should be overwrite or not. |
importPath |
path to ebits — newest versions are found in M. Schubert's github profile |
... |
other parameters for ebits::hpc or saveToFile |
Split the several randomisation of the genes correlation as different jobs on LSF
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.