Hi, Yes, you are right. 72.655222% was those missing among females. 35.14377% of values in females are missing from among the whole dataset (combined total of Males+Females data after removing the NAs from the variable "Sex"). A.K.
________________________________ From: Usha Gurunathan <usha.nat...@gmail.com> To: arun <smartpink...@yahoo.com> Cc: R help <r-help@r-project.org> Sent: Saturday, January 12, 2013 5:59 PM Subject: Re: [R] random effects model Hi AK That works. I was trying to get similar results from any other package. Being a beginner, I was not sure how to modify the syntax to get my output. lapply(split(BP_2bSexNoMV,BP_ 2bSexNoMV$Sex),function(x) (nrow(x[!complete.cases(x[,-2]),])/nrow(x))*100) #gives the percentage of rows of missing #values from the overall rows for Males and Females #$Female #[1] 72.65522 # #$Male #[1] 74.47401 #iF you want the percentage from the total number rows in Males and Females (without NA's in the the Sex column) lapply(split(BP_2bSexNoMV,BP_2bSexNoMV$Sex),function(x) (nrow(x[!complete.cases(x[,-2]),])/nrow(BP_2bSexNoMV))*100) #$Female #[1] 35.14377 # #$Male #[1] 38.45048 How do I interpret the above 2 difft results? 72.66% of values were missing among female participants?? Can you pl. clarify. Many thanks. On Sun, Jan 13, 2013 at 3:28 AM, arun <smartpink...@yahoo.com> wrote: lapply(split(BP_2bSexNoMV,BP_2bSexNoMV$Sex),function(x) (nrow(x[!complete.cases(x[,-2]),])/nrow(x))*100) #gives the percentage of rows of missing #values from the overall rows for Males and Females >#$Female >#[1] 72.65522 ># >#$Male >#[1] 74.47401 > >#iF you want the percentage from the total number rows in Males and Females >(without NA's in the the Sex column) > lapply(split(BP_2bSexNoMV,BP_2bSexNoMV$Sex),function(x) >(nrow(x[!complete.cases(x[,-2]),])/nrow(BP_2bSexNoMV))*100) >#$Female >#[1] 35.14377 ># >#$Male >#[1] 38.45048 ______________________________________________ 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.
