Thanks for all the excellent replies.
Iain
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and p
Does this do at least the means for you:
> x <- read.csv(textConnection("Col1 , Col2
+ A, 3
+ , 2
+ , 3
+ B, 4
+ , 5
+ , 4
+ C , 1
+ , 4
+ , 3"), strip.white=TRUE)
> x
Col1 Col2
1A3
2 2
3 3
4
sd
A 2.67 0.5773503
B 4.33 0.5773503
C 2.67 1.5275252
- Original Message
From: Iain Gallagher <[EMAIL PROTECTED]>
To: [EMAIL PROTECTED]
Sent: Thursday, July 17, 2008 8:50:42 AM
Subject: [R] help with data layout
Hello list
I have been given some Excel sheets with data laid
Nice tip on filling missing col1 values. I've always just done the
filling in excel by hand. I then use that same hand to smack the
person that gave me data in excel format :Op
On 17-Jul-08, at 1:19 PM, Erik Iverson wrote:
Iain Gallagher wrote:
Hello list
I have been given some Excel sheet
Try this:
#x <- read.csv('your_file.csv')
x$Col1 <- rep(as.character(x$Col1[x$Col1!="" ]),
each = unique(diff(which(x$Col1 != ""
with(x, sapply(c(sd, mean), function(x)tapply(Col2, Col1, x)))
On Thu, Jul 17, 2008 at 12:50 PM, Iain Gallagher
<[EMAIL PROTECTED]> wrote:
> Hello li
Iain Gallagher wrote:
Hello list
I have been given some Excel sheets with data laid like this:
Col1Col2 A 3 2 3 B 4 5 4 C 1 4 3
I was hoping to import this into R as a csv and then get the mean and
SD for each letter in column 1.
Could someone give me some guidance
Hello list
I have been given some Excel sheets with data laid like this:
Col1Col2
A 3
2
3
B 4
5
4
C 1
4
3
I was hoping to import this into R as a csv and then get the mean and SD for
each letter in
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