Hi Jeff Newmiller,
The script given by you is perfect for my requirement.
The rest of the scripts given by other authors are failing to format the
file header which are giving like eachdatacolumn.1 or eachdatacolumn.2 etc,
whereas I need them as eachdatacolumn_firstactualstepnumber,
eachdata
-
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of arun
> Sent: Sunday, October 14, 2012 1
A 2
#2 B 3 1 3 B 2 2 2 B 1
# Data3_2 Data3_3
#1 4 3
#2 3 0
A.K.
- Original Message -----
From: siddu479
To: r-help@r-project.org
Cc:
Sent: Sunday, October 14, 2012 12:13 PM
Subject: [R] transforming a .csv
: num 1 2
#$ Data2.3: num 1 2
#$ Data2.4: num 1 2
# $ Tool : Factor w/ 2 levels "A","B": 1 2
# $ Data3.2: num 2 1
# $ Data3.3: num 4 3
# $ Data3.4: num 3 0
A.K.
- Original Message -
From: siddu479
To: r-help@r-project.org
Cc:
Sent: Sunday, October 14, 2
Hello,
Try the following.
dta1 <- read.csv( text=
"Tool,Step_Number,Data1,Data2
A,1,0,1
A,2,3,2
A,3,2,3
B,1,3,2
B,2,1,2
B,3,3,2
")
sp <- split(dta1[-2], dta1$Tool)
dta2 <- do.call(rbind, lapply(sp, function(x) as.vector(unlist(t(x)
dta2 <- data.frame(dta2, stringsAsFactors = FALSE)
idx <- r
October 14, 2012 12:13 PM
Subject: [R] transforming a .csv file column names as per a particular column
rows using R code
Hello all,
I have a .csv file like below.
Tool,Step_Number,Data1,Data2... etc up to 100 columns.
A,1,0,1
A,2,3,1
A,3,2,1
.
.
B,1,3,2
B,2,1,2
B,3,3,2
.
.
.. so on upto
Not clear to me what your successive rows indicate in your output.
However, you may get something similar to what you want using the reshape2
library:
library(reshape2)
dta1 <- read.csv( text=
"Tool,Step_Number,Data1,Data2
A,1,0,1
A,2,3,2
A,3,2,3
B,1,3,2
B,2,1,2
B,3,3,2
")
# put into long fo
Hello all,
I have a .csv file like below.
Tool,Step_Number,Data1,Data2... etc up to 100 columns.
A,1,0,1
A,2,3,1
A,3,2,1
.
.
B,1,3,2
B,2,1,2
B,3,3,2
.
.
.. so on upto 50 rows
where the column "*Tool*" has distinct steps in second column
"*Step_Number*",but both have same entries in Step_Numbe
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