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The dataframe is id salary 100 500 101 600 102 700 103 800 how can i generate a subsets if salary>600? -- View this message in context: http://r.789695.n4.nabble.com/Filtering-in-R-tp2299603p2299603.html Sent from the R help mailing list archive at Nabble.com.

1. how to write a R script? 2.How to write a SAS like macro/generic process to process multiple files by using the same funstion in R? Thanks in advance -- View this message in context: http://r.789695.n4.nabble.com/how-to-define-a-function-in-R-tp2280290p2280290.html Sent from the R help mailing list archive at Nabble.com.

myDF: d1 d2 d3 d4 d5 -0.166910351 0.022304377 -0.00825924 0.008330689 -0.000925938 -0.166910351 0.022304377 -0.00825924 0.008330689 -0.000925938 -0.166910351 0.022304377 -0.00825924 0.008330689 -0.168225938 -0.166910351 0.022304377 -0.00825924 0.008330689 -0.168225938 -0.166910351 0.022304377 -0.00825924 0.008330689 -0.168225938 -0.166910351

>myDF = data.frame(id=c("A10","A20"),d1=c(.3,.3),d2=c(.4,.4),d3=c(-.2,.5),d4=c(-.3,.6),d5=c(.5,-.2),d6=c(.6,-.4),d7=c(-.9,-.5),d8=c(-.8,-.6)) >doit=function(x)c(x[1],sum_LK_positive=sum(x[-1][x[-1]>0]),sum_LK_negative=sum(x[-1][x[-1]<0])) > myDF id d1 d2 d3 d4 d5 d6 d7 d8 1 A10 0.3 0.4 -0.2 -0.3 0.5 0.6 -0.9 -0.8 2 A20 0.3 0.4 0.5 0.6 -0.2

Here is my dataframe with 1000 rows: employee_id weigth p-value 100 150 101 200 102 300 103 180 ..... My question: how can I calculate the p-value in R for each employee? the distribution of the weigth will be established from the above 1000 samples. -- View this message in context:

I have 30 files in the current directories, i would like to perform the cbind(fil1,file2,file3,file4....file30) how could i do this in a for loop: such as: file2 <- list.files(pattern=".out3$") for (j in file2) { cbind(j).......how to implement cbind here } Thanks. -- View this message in context:

hi all i have found the follwoing way to choose a random sample by sample size (200): ten_per_T2000 <- F_T2000_All[sample(nrow(F_T2000_All), 200), ] but i wondered if there is a way to choose a sample size by precentage (10% etc..) thx ethan

Here are what i am going to accomplish: I have 400 files named as xxx.txt. the content of the file looks like the following: name count 1. aaa 100 2. bbb 2000 3. ccc 300 4. ddd 3000 ........ more that 1000 rows in each files. these are the areas i need help: 1. how can i only read in the files with the string patterns ggg or fff as part of the file names? for

how to use boxplot on all the columns from he date frame instead of manually entering the columns like below bhtest1 <- read.table("bhtest1.txt", header=TRUE) boxplot (bhtest1[,2], bhtest1[,3], bhtest1[, 4], bhtest1[,5], bhtest1[,6], bhtest1[,7]....) please help, Thanks, -- View this message in context:

I have the following datasets: id d1 d2 d3 d4 d5 d6 d7 d8 1 100 0.3 0.4 -0.2 -0.3 0.5 0.6 -0.9 -0.8 2 101 0.3 0.4 0.5 0.6 -0.2 -0.4 -0.5 -0.6 what I am trying to accomplish: loop through the rows && do the following: if the values from the columns of the current row >0 then sum_positive=total if the values from the columns of the current row <0 then

I have a DF ID VALUE 100 120 101 100 102 100 103 104 105 .... when i calculate the sum of the values, it returned NA. should I populate the blank value as 0? Thanks, -- View this message in context: http://r.789695.n4.nabble.com/MISSING-VALUE-IN-R-tp2299586p2299586.html Sent from the R help mailing list archive at Nabble.com.

POS=sum(x[-1][x[-1]>0],na.rm=TRUE) is this the correct syntax? -- View this message in context: http://r.789695.n4.nabble.com/na-rm-TRUE-tp2299596p2299596.html Sent from the R help mailing list archive at Nabble.com.

Id cat1 location item_values p-values sequence a111 1 3002737 100 0.01 1 a112 1 3017821 102 0.05 2 a113 2 3027730 103 0.02 3 a114 2 3036220 104 0.04 4 a115 1 3053984 105 0.03 5 a118 1 3090500 106 0.02 8 a119 1 3103304 107 0.03 9

Here are what i am going to accomplish: I have 400 files named as xxx.txt. the content of the file looks like the following: name count 1. aaa 100 2. bbb 2000 3. ccc 300 4. ddd 3000 ........ more that 1000 rows in each files. these are the areas i need help: 1. how can i only read in the files with the string patterns ggg or fff as part of the file names? for instance, I

mydata <- read.table(textConnection(" Id cat1 location item_values p-values sequence a111 1 3002737 100 0.01 1 a112 1 3017821 102 0.05 2 a113 2 3027730 103 0.02 3 a114 2 3036220 104 0.04 4 a115 1 3053984 105 0.03 5 a118 1 3090500 106 0.02 8 a119 1 3103304

one string named as: mytest.txt how can I remove the .txt and return the mytest only. i tried split substr, and grep didn't work it out, Thanks so lot -- View this message in context: http://r.789695.n4.nabble.com/String-truncate-tp2284045p2284045.html Sent from the R help mailing list archive at Nabble.com.

DF1 name OTHER ABC O KKK O QQQ O DDD O PPP O DF2 name ABC KKK DDD If the names in df1 resides in df2, then add the mapped name to df1 as a separate column, for instance "mappedColumn" the output should be: DF1 name OTHER mappedColumn ABC O ABC KKK O KKK QQQ O DDD O PPP O PPP I have been trying for a while, still didn't