Code <- c(rep("NY14/3070", 3), rep("NY14/5459", 2))
Code <- as.factor(Code)
absdiff <- c(2, 4, 1, 5, 7)
df <- data.frame(Code, absdiff)
which(
paste(df$Code, df$absdiff) ==
paste(
aggregate(df$absdiff, by = list(df$Code), min)$Group.1,
aggregate(df$absdiff, by = list(df$Code), min)$x
)
)
----- Original Message -----
From: "Rawlins, Barry G." <b...@bgs.ac.uk>
To: "r-help@r-project.org" <r-help@r-project.org>
Cc:
Sent: Tuesday, September 13, 2011 11:31 AM
Subject: [R] Selecting row indices from a data.frame by a factor and simple
calculation (miniumum)
Hello
I wish to extract the row indices from a data.frame in which a column contains
numeric data by calculating the minimum value, but grouped on another column
factor:
An example data.frame:
Code absdiff
NY14/3070 2
NY14/3070 4
NY14/3070 1
NY14/5459 5
NY14/5459 7
So in this case the factor is Code and the numeric vector is absdiff
The query would return row indices 3 and 4 which have the minimum values for
the factor.
I am sure it would involve some combination of which and tapply but cannot
figure it out?
Many thanks, Barry
Dr Barry Rawlins
British Geological Survey
Keyworth
Nottingham
NG12 5GG
UK
Tel: 0115 9363140
Mob: 07884235473
homepage http://sites.google.com/site/barryrawlins/
--
This message (and any attachments) is for the recipient ...{{dropped:8}}
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
