search for: finaldf

...uot;V3" in the rows where the numbers are: 3,17,19. I'm trying with "if" and something like this, but it's not working yet: # For "V1": if(DF$number %in% c(1,7,11,16)) {test$Station=="V1"} # For "V2": ... So my final DF should look like this: FINALDF <- data.frame(number=c(1,4,7,3,11,16,14,17,20,19),data=c(1:10), Station=c("V1","V2","V1","V3","V1","V1","V2","V3","V2","V3")) Could someone help me to finish this? Thank you very much!!! --...

...rix) looks something like the following? (I've saw something in a tut based on t-tests that I thought would work, but no joy...) >NewDF ID Ind frq 1 S-3 BR_F01 0.9167 2 S-3 BR_F02 0.6667 Further, is there to then transform the matrix to look something like the following? >FinalDF Ind S-3 S-4 S-5.... S-1000000 BR_F01 0.9167 0.5 1 0.6667 BR_F02 0.6667 0.2 1 0.5 ... ... ... BR_Z98 0.5 1 0.3 1 BR_Z99 1 0.6 1 0.5 Thanks in advance for any help you can offer, and please let me know if there is any further informatio...

(1) I have a master data frame that reads ClientID |date |value (2) I also have a control data frame that reads Client ID| Min date| Max date| control parameters The control data set may not have all client IDs . I want to use the control data frame on the master data frame to remove client IDS that don't exist in the control data set and for those that do, remove dates outside the

Hello, I am currently using R to run an external program and then read the results the external program sends to the stdout which are tsv data. When R reads the results in it converts it to to a list of strings which I then have to maniuplate with a whole slew of commands (which, figuring out how to do was a reall challenge for a newbie like myself)--see below. Here's the code I'm