Hi folks,
I'm trying to figure out how to get summarized data based on multiple
columns. However, instead of giving summaries for every combination of
categorical columns, I want it for each value of each categorical column
regardless of the other columns. I could do this with three different
How about
library(reshape2)
mdf.m - melt(my_df, measure.vars=c(a, b, c))
mdf.m - mdf.m[mdf.m$value 0, ]
ddply(mdf.m, variable, function(x) c(mean=mean(x$dat), n=nrow(x)))
?
Best,
Ista
On Wed, Mar 20, 2013 at 3:57 PM, Alexander Shenkin ashen...@ufl.edu wrote:
Hi folks,
I'm trying to figure
Will this do?
library(plyr)
ddply(my_df, .(a), summarize, mm = mean(dat), number = length(dat))
John Kane
Kingston ON Canada
-Original Message-
From: ashen...@ufl.edu
Sent: Wed, 20 Mar 2013 14:57:36 -0500
To: r-help@r-project.org
Subject: [R] summarize dataframe based
Nice, thanks Ista!
On 3/20/2013 3:18 PM, Ista Zahn wrote:
How about
library(reshape2)
mdf.m - melt(my_df, measure.vars=c(a, b, c))
mdf.m - mdf.m[mdf.m$value 0, ]
ddply(mdf.m, variable, function(x) c(mean=mean(x$dat), n=nrow(x)))
?
Best,
Ista
On Wed, Mar 20, 2013 at 3:57 PM,
dataframe based on multiple cols, not their
combinations
Hi folks,
I'm trying to figure out how to get summarized data based on multiple
columns. However, instead of giving summaries for every combination of
categorical columns, I want it for each value of each categorical column
regardless
1 * *
#2 12 3 * * 1
#3 14 3 * 1 *
A.K.
- Original Message -
From: Alexander Shenkin ashen...@ufl.edu
To: r-help@r-project.org
Cc:
Sent: Wednesday, March 20, 2013 3:57 PM
Subject: [R] summarize dataframe based on multiple cols, not their combinations
Hi folks,
I'm trying to figure
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