similar to: timing a function

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Hello, I have imported data from Excel using the command cours=read.delim("w:/apprentissage/cours_2.txt") after transforming my initial file with tab delimiters It seemed to work It is 2-dimensionnal. When I type cours[5,5], I get this type of message : "[1] 0,9760942761824 Levels: 0,495628477 0,893728761 0,89640592 0,903398558 ... 3,864414217" And when I want to

I have a TS of monthly observations. head(data4) 1991(1) 1991(2) 1991(3) 1991(4) 1991(5) 1991(6) 12.00864 11.94203 11.98386 12.01900 12.19226 12.15488 Now I want to make 11 dummy variables indicating months. Therefore I did followings : For Jan : rep(c(rep(0,0), 1, rep(0, 11)), 17) For Feb : rep(c(rep(0,1), 1, rep(0, 10)), 17) ........ and so on But my

Hi. In a data set I have a variable that takes values from 1 to 14. For each subgroup of values of this variable, I would like to obtain some descriptive statistics of other variables present in the data set. I've been trying with a "for" loop but I couldn't get nothing. Could you please suggest me some lines? -- View this message in context:

I have 2 data frames (A & B) with some common column names. A has 10 rows. B has 20 rows. How do I combine them so I end up with a data frame with 30 rows that only contains the common columns. I was trying 'merge' (Merge two data frames by common columns .....etc. ) but that is not giving me what I expect... > a <- iris > b <- iris > > c <-merge(a,b) >

Dear all, i have 2 lists of data with each of the list contain 14 columns. How am i going to extract column 12 and 13 from each of the list ?? and can i combine my extracted columns to form a single list. Attach with are my data. Your coorperation is highly appreciated. Many thanks Regards, Anisah -------------- next part -------------- An embedded and charset-unspecified

Hi, Hopefully someone can point me in the right direction on how I would go about solving the following. I have some data and need to find the column name of the maximum value in each row. This could be the data... > a <- data.frame(x = rnorm(4), y = rnorm(4), z = rnorm(4)) > a x y z 1 1.6534561 0.11523404 0.2261730 2 -1.2274320 -0.24096054 1.5096028

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Hi all, I have a large data set and want to immediately build a 'blind' model without first examining the data. Now it appears in the data there are a lot of fields that are constant or all missing values - which prevents the model from being built. Can someone point me the right direction as to how I can automatically purge my data file of these useless fields. Thanks in advance, pdb

I'm trying to work out the simplest way to remove the upper and lower quantiles, in this case upper and lower 25% from an array. I can do it in two steps but when I try it in one, it fails. Is there something simple missing from my syntax or are there other simple elegant way to accomplish this? Thanks J > i <-1:20 > i2 <- i[i<quantile(i,.75)] > i3 <-

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