similar to: Inserting a blank row to every other row

Oh, sorry, I just realized that I messed up the indicing. Here is the correct way: > z <- data.frame(a=1:3,b = letters[1:3]) > i <- seq_len(nrow(z)) > z<-z[rep(i,e=2),] > z[2*i, ] <- matrix(NA, nr=nrow(z),nc=ncol(z)) > z Still doubt that this is a good idea, though. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along

Well, something like this would work (there may be slicker solutions): > z <- data.frame(a=1:3,b = letters[1:3]) > i <- seq_len(nrow(z)) *2 > z <-rbind(z,z) > z[i, ] <- matrix(NA, nr=nrow(z),nc=ncol(z)) > z a b 1 1 a 2 NA <NA> 3 3 c 4 NA <NA> 5 2 b 6 NA <NA> But I agree with you that there is probably a way to handle the underlying

Hi Saba, I don't know how to do what you want and I also cannot see why. If you describe what you hope to achieve there might be a different solution. Best wishes Ulrik Saba Sehrish via R-help <r-help at r-project.org> schrieb am So., 24. Apr. 2016 14:04: > Hi > > I need to insert a blank row after every row in R data frame. I have > achieved it through: > > >

Hi I need to insert a blank row after every row in R data frame. I have achieved it through: df[rep(1:nrow(df),1,each=2),] But it inserts a row with name of previous row, while i want a complete blank row without any name/title. Please guide me Regards Saba

Since the aggregate S3 method for class formula already has got na.action = na.omit, ## S3 method for class 'formula' aggregate(formula, data, FUN, ..., subset, na.action = na.omit) I think that to deal with NA's, it is enough: aggregate(Value~ID, dta, max) Moreover, passing na.rm = FALSE/TRUE is "don't care": aggregate(Value~ID, dta, max, na.rm=FALSE)

Hi, I am trying to split multiple columns. One column works just fine, but I want to do it for multiple columns??? Example > a ID V2 V3 V4 V5 V6 V7 V8 V9 V10 1 PBBA0644 -- GG AA -- AA -- AA GG GG 2 PBBA1010 -- GG AA -- AA -- AA GG GG 3 0127ATPR -- GG AA -- AA -- AA GG GG 4 0128EHAB -- GG AA -- AG -- AA AG GG 5 PBBA0829 -- GG AA -- AA -- AA GG AG

Dear help list - I have light data with 5-min time-stamps. I would like to insert four 1-min time-stamps between each row and interpolate the light data on each new row. To do this I have come up with the following code: lightdata <- read.table("Test_light_data.csv", header = TRUE, sep = ",") # read data file into object "lightdata" library(chron) mins <-

I am calculating some values that I am inserting into a data frame. From what I have read, creating the dataframe ahead of time is more efficient, since rbind (so far the only solution I have found to appending to a data frame) is not very fast. What I am doing is the following: # create data frame goframe = data.frame(goA = character(10), goB = character(10), value = numeric(10)) goframe[1,] =

Hi everyone, I have a question. Now I am reading the resource code of the package "ssfcov". The resource code is as following. I cannot find the resource code of the function "myss2d" anywhere in the package. Can anyone give me a hint how to find it in the package. Thanks a lot!!bv > ssfcov function (time, x, subject, nbasis = 5, centered = FALSE, noDiag = TRUE) {

Try this , save your data in C:/ and write this (data <- read.csv2("c:/jill.csv", sep=",")) (C<-data[1,]) A <- numeric(4) B <- numeric(4) for (i in 1 :4){ A[i] <- paste(data[1,i],data[2,i]) B[i] <- paste(data[1,i],data[3,i]) } A B (data1 <- rbind(as.character(A),as.character(B))) (data2 <- rbind(C,data1)) normaly that gives that > (data <-

Hello, I need to insert a line after every eigth row (group/suset) which should contains the following: <(an incremented ID),0,1,1,1,1> I have two problems with constructing my code: 1. I am getting NAs in three of the columns and 2) I can not find a way to write the ID (group name) at the beginning of the inserted line. Below the # sign I show one of the ways I tried from a variation

Good day everyone. I have a question concerning *ggobi* and *rggobi*package. I am using R version 2.13.2 and Ubuntu 11.04. I am new to ggobi and I'm reading the book *Interactive and Dynamic Graphics for Data Analysis *. The book was published 2007. My question is: how can I export a graph for *rggobi* to pdf to include it in latex. For example: I have lots of variables in ggobi and I need to

Good day everyone. I have a question concerning *ggobi* and *rggobi*package. I am using R version 2.13.2 and Ubuntu 11.04. I am new to ggobi and I'm reading the book *Interactive and Dynamic Graphics for Data Analysis *. The book was published 2007. My question is: how can I export a graph for *rggobi* to pdf to include it in latex. For example: I have lots of variables in ggobi and I need to

Hi guys, I need to insert a row to a matrix in a for loop. I have matrix named "Avg" which is a 5x4 matrix of zeros. I have a file named "A"(4 rows,14 columns) which I make a sample of it 5 times. each time I get the mean for each column and put the result in the "Avg" matrix. this is my code: Avg=matrix(0,5,4) > > for(i in 1:5){ + res=(A[sample(nrow(A),

I'm trying to find a more elegant way of doing this. What I'm trying to accomplish is to count the frequency of letters (major / minor alleles) in a string grouped by the factor levels in another column of my data frame. Ex. > DF<-data.frame(c("CC", "CC", NA, "CG", "GG", "GC"), c("L", "U", "L",

Hello, I have been struggling with this for a while, tried a few things, but no clean solution so far. Here is an example from the documentation for geom_line: ========================================== # Summarise number of movie ratings by year of movie mry <- do.call(rbind, by(movies, round(movies$rating), function(df) { nums <- tapply(df$length, df$year, length)

Hi everyone, I currently do some statistics about my heart rate variability. I've a CSV file which looks like this: Date Time ts_mean_RR ts_sdnn_RR ts_mean_HR ts_sdnn_HR ts_rmssd 1 20110905 07:21:50.0 1139.8298 40.3053 52.7393 2.2824 45.7958 2 20110906 07:11:37.0 1182.7333 49.1861 50.8665 2.4983 60.2329 3 20110907 07:21:31.0 1136.6028 49.4682 52.9566

Dear folks? Is there a function to correctly find (and count) the NAs in a factor when exclude=NULL, regardless of whether their origin is in the original data or by subsequent assignment? In example number 1 below, where NAs are assigned by is.na()<-, testing the factor with is.na() finds the correct number of NAs. In example number 2, where the NAs are from the data, neither is.na(), ==NA,

Hi, I've examined the archives and found quite a few questions on concatenating dataframes, but none that really addressed my issue, I'm afraid. I've also examined the cbind and rbind documentation but nonetheless here I am writing to r-help ;) This is what I have (the row names are dates used for conversion to an irregular time series with the its package): > cvsFrame

Hi, I guess you meant this: dat2<- read.table(text=" patient_id????? t???????? scores 1????????????????????? 0??????????????? 1.6 1????????????????????? 1??????????????? 2.6 1????????????????????? 2???????????????? 2.2 1????????????????????? 3???????????????? 1.8 2????????????????????? 0????????????????? 2.3 2?????????????????????? 2???????????????? 2.5 2?????????????????????