R help - Sep 2013 - Replacement function using grouping variable

Hello -

I am looking for a function that would allow me to replace specific columns
in one data frame with columns in another data frame using a grouping
variable.

df <- read.csv("data.csv", header=T)
df1 <- aggregate(df[, c(8,9,10,11,12,27,28)], by=list(df$ID),
FUN=function(x) sub("(.*):", "\\1.", x))

How do I replace columns (8,9,10,11,12,27,28) in df with those from df1
using the ID column?

Thank you,

Alecia

	[[alternative HTML version deleted]]

Hi
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Alecia M Moser
> Sent: Thursday, September 19, 2013 7:01 AM
> To: r-help at r-project.org
> Subject: [R] Replacement function using grouping variable
> 
> Hello -
> 
> I am looking for a function that would allow me to replace specific
> columns in one data frame with columns in another data frame using a
> grouping variable.
> 
> df <- read.csv("data.csv", header=T)
> df1 <- aggregate(df[, c(8,9,10,11,12,27,28)], by=list(df$ID),
> FUN=function(x) sub("(.*):", "\\1.", x))
> 
> How do I replace columns (8,9,10,11,12,27,28) in df with those from df1
> using the ID column?
Maybe ?merge.

Petr
> 
> Thank you,
> 
> Alecia
> 
> 	[[alternative HTML version deleted]]
> 
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