How to use nomogram_multi_cox.r in R language
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Nomogram_multi_cox.r multi-factor cox analysis to build the model and draw the line diagram nomogram
Instructions for use:
R packet rms for Line Diagram
$Rscript $scriptdir/nomogram_multi_cox.r-husage: / share/nas1/huangls/test/TCGA_immu/scripts/nomogram_multi_cox.r [- h]-I data-t time-e event-v variate [variate...] [- P predict.time [predict.time...]] [- c cut.score] [- s seed] [- o outdir] [- p prefix] cox regression analysis gene expressionoptional arguments:-h -- help show this help message and exit-I data,-- data data input data file path [required]-t time,-- time time set suvival time column name [required]-e event,-- event event set event column name must 0 or 1 code format [required]-v variate [variate...],-- variate variate [variate...] Variate for cox analysis [required]-P predict.time [predict.time...],-- predict.time predict.time [predict.time...] Time point to draw the ROC curve [default 1095 1825]-c cut.score,-- cut.score cut.score set cut score value to divide high and low risk groups [default median]-s seed,-- seed seed set random seed [default 2021]-o outdir,-- outdir outdir output file directory [default cwd]-p prefix -- prefix prefix out file name prefix [default cox]
Examples of use:
Rscript $scriptdir/nomogram_multi_cox.r-I nomogram_metadata.tsv-e EVENT-t TIME\-v riskScore ajcc_pathologic_stage-o multicox.nomogram\-p multicox-P 365710 1095 is the content of this article on "how to use nomogram_multi_cox.r in R language". I believe you all have some understanding. I hope the content shared by the editor will be helpful to you, if you want to know more about it. Please follow the industry information channel.
