Hi, I made a small table of strings that will serve as variable names for lm models I will run. The table looks like this:
> varnames num name 1 1 zCANTAB_log_IED_totaltrials 2 2 zCANTAB_log_IED_preED 3 3 zCANTAB_logPALerrors 4 4 zCANTAB_PALstages 5 5 zCANTAB_logRTI 6 6 zCANTAB_RVP_Totalmisses 7 7 zCANTAB_log_RVP_falsealarm 8 8 zCANTAB_DMS_12000 9 9 zCANTAB_PRM_Percent 10 10 zCANTAB_SRM_Percent 11 11 zCANTAB_sqrt_SWM_within 12 12 zCANTAB_sqrt_SWM_Total 13 13 zSS_WJ_PC 14 14 zSS_WJ_CALC 15 15 zSS_WJ_LW 16 16 zSS_WJ_AP 17 17 zSS_WJ_MF What I'm trying to do is varnames[1,2] -> outcome lm(outcome ~ income + covariate1 + coviarate2, data=my.data) -> model I get the following error message: "Error in model.frame.default(formula = outcome ~ Hollings_Enroll + Child_sex + : variable lengths differ (found for 'Hollings_Enroll')" But when I run the model: lm(zCANTAB_log_IED_totaltrials ~ income + covariate1 + coviarate2, data=my.data) -> model it works fine. Eventually, once I resolve this, I'd like to make a custom R function to automatically generate 17 regression models with these 17 outcome variable strings. Do you have any ideas how to resolve this error? Thanks! -Roni ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.