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I have to remove missing data both in character and numeric datatype.I tried using NA condition but it is not working ,please help me to solve this. -- View this message in context: http://www.nabble.com/Handling-missing-data-tp25530192p25530192.html Sent from the R help mailing list archive at Nabble.com.

My R crashes frequently when run with huge data. -- View this message in context: http://www.nabble.com/R-crashes-tp26110355p26110355.html Sent from the R help mailing list archive at Nabble.com.

Is anyone could help me to resolve this problem?I'm presently an SAS user for my application and was exploring R to use it for my application.I have already posted this question on using my 32 bit machine with 2GB RAM and from what i understood was to use a 64Bit machine .I tried using 64bit machine using 4GB RAM .I'm running predictive analytics using R and to calibrate my model i used to

I heard form my friend there is a way to run R in system hard disk space not in the RAM .By that we may not run out of memory and have problem attached with the same.Someone could help me in this.Thanks. -- View this message in context: http://n4.nabble.com/R-on-Hard-drive-memory-tp1401528p1401528.html Sent from the R help mailing list archive at Nabble.com.

my data : library(doBy) lines<-"lo ptcl5 ptcl99 variable 430 . 8787 a 430 342 2343 m 430 . 89 mr 431 456 4774 a 431 299 2777 m 431 99 96 mr 432 333 3433 a 432 . 7377 m 432 .

I'm relatively new to R .I tried converting the datetime column with values like 01apr1985:00:00:00.000 using strptime(datetime,"%d%b%Y).Could anyone help me in this regard .Please reply ASAP i need . -- View this message in context: http://www.nabble.com/Datetime-conversion-tp25503138p25503138.html Sent from the R help mailing list archive at Nabble.com.

Hi,everyone i need to calculate quartile values of a variable grouped by the other variable . same as in aggregate function(only median,mean or functions is possible-i think so) Could you please help me to achieve the same for other quartile values(5,10,25,75,90) as for median using aggregate. Thanks in advance. data : zip price 60000 567000 60001 478654 60004 485647 60001

Hello Everyone,   Learning about R and its wonderful array of functions. If it's not obvious, I usually try to find out what a function stands for. I think this helps me remember better.   One function that has me stumped is "sink." Can anyone tell me if this stands for something?   Thanks,   Paul         __________________________________________________ [[alternative HTML

Hi,every one .I have searched the solutions in the forum for replacing my date value which is in a data frame ,01/01/2000 to 01-01-2000 using replace function but got the following warning message x<-"2000/01/01" xd<-as.data.frame(x) xd$x<-replace(xd$x,xd$x=="/","-") Warning message: In `[<-.factor`(`*tmp*`, list, value = "-") : invalid