Re: [R] Help needed for efficient way to loop through rows and columns
This will accomplish what you want and should be relatively easy to modify.
# Create data.fram
names - c(S1, S2, S3, S4)
X - c(BB, AA, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AA, NA)
AorB - c(A, A, B, B)
sample - data.frame(names, X, Y, Z, AorB,
stringsAsFactors=FALSE)
# Create recoded data.frame
samplemod - sample
samplemod[,2:4] - NA
# Recoded values into samplemod
for (i in 1:nrow(sample)) {
for (j in 2:4) {
if (!is.na(sample[i,j])){
if (sample[i, 5] == A) {
samplemod[i,j] - switch(sample[i,j], AA = 2,
AB = 1, BA = 1, BB = 0)
}
else {
if (sample[i, 5] == B) {
samplemod[i,j] - switch(sample[i,j], AA = 0,
AB = 1, BA = 1, BB = 2)
}
}
}
}
}
--
David L Carlson
Associate Professor of Anthropology
Texas AM University
College Station, TX 77843-4352
From: Priya Bhatt [mailto:bhatt...@gmail.com]
Sent: Wednesday, May 16, 2012 1:55 PM
To: dcarl...@tamu.edu; r-help@r-project.org
Subject: Re: [R] Help needed for efficient way to loop through rows and
columns
Yes here it is. I actually convert them all as strings, initially using
options(stringsAsFactors=F) at the top of my code.
This what the initial dataframe looks like. Please note this is a toy
dataset:
names X Y Z AorB
S1 BB BB BB A
S2 AA BB BB A
S3 AB AB AA B
S4 AA AA NA B
And the code to create this initial dataframe is:
names - c(S1, S2, S3, S4)
X - c(BB, AA, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AA, NA)
AorB - c(A, A, B, B)
sample - data.frame(names, X, Y, Z, AorB)
The final data.frame should look like:
names X Y Z AorB
S1 0 0 0 A
S2 2 0 0 A
S3 1 1 0 B
S4 0 0 NA B
You're right! - I'll should be able to globally change all ABs and BAs to
1s. Thanks:) I'm not exactly sure how to change AA and BB depending on AorB
for each row though. Thoughts?
Thanks for your help thus far, David.
Best, Priya
On Wed, May 16, 2012 at 6:53 AM, David L Carlson dcarl...@tamu.edu wrote:
Can you show us what you want the final data.frame to look like? You've
created five variables stored as factors and you seem to be trying to change
those to numeric values? Is that correct?
Since AB and BA are always set to 1, you could just replace those values
globally rather than mess with the ifelse commands for those values. Only AA
and BB are affected by the value of AorB.
Your apply() function processes the data.frame by row so i is a vector
consisting of all the values in the row. You seem to be coding as if i was a
single integer (as in a for loop).
--
David L Carlson
Associate Professor of Anthropology
Texas AM 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 Priya Bhatt
Sent: Wednesday, May 16, 2012 3:08 AM
To: r-help@r-project.org
Subject: [R] Help needed for efficient way to loop through rows and
columns
Dear R-helpers:
I am trying to write a script that iterates through a dataframe that
looks
like this:
Example dataset called sample:
names - c(S1, S2, S3, S4)
X - c(BB, AB, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AB, NA)
AorB - c(A, A, A, B)
sample - data.frame(names, X, Y, Z, AorB)
for a given row,
if AorB == A, then AA == 2, AB = 1, BA = 1, BB = 0
if AorB == B, then AA == 0, AB = 1, BA = 1, BB = 2
I've been trying to write this using apply and ifelse statements in
hopes
that my code runs quickly, but I'm afraid I've make a big mess. See
below:
apply(sample, 1, function(i) {
ifelse(sample$AorB[i] == A,
(ifelse(sample[i,] == AA, sample[i,] - 2 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 0,
sample[i,] - NA )) )
) , ifelse(sample$AorB[i,] == B),
(ifelse(sample[i,] == AA, sample[i,] - 0 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 2,
sample[i,] - NA) })
Any Advice?
[[alternative HTML version deleted]]
__
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and provide commented, minimal, self-contained, reproducible code.
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and provide commented, minimal, self-contained, reproducible code.
[R] Help needed for efficient way to loop through rows and columns
Dear R-helpers:
I am trying to write a script that iterates through a dataframe that looks
like this:
Example dataset called sample:
names - c(S1, S2, S3, S4)
X - c(BB, AB, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AB, NA)
AorB - c(A, A, A, B)
sample - data.frame(names, X, Y, Z, AorB)
for a given row,
if AorB == A, then AA == 2, AB = 1, BA = 1, BB = 0
if AorB == B, then AA == 0, AB = 1, BA = 1, BB = 2
I've been trying to write this using apply and ifelse statements in hopes
that my code runs quickly, but I'm afraid I've make a big mess. See below:
apply(sample, 1, function(i) {
ifelse(sample$AorB[i] == A,
(ifelse(sample[i,] == AA, sample[i,] - 2 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 0,
sample[i,] - NA )) )
) , ifelse(sample$AorB[i,] == B),
(ifelse(sample[i,] == AA, sample[i,] - 0 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 2,
sample[i,] - NA) })
Any Advice?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Help needed for efficient way to loop through rows and columns
Can you show us what you want the final data.frame to look like? You've
created five variables stored as factors and you seem to be trying to change
those to numeric values? Is that correct?
Since AB and BA are always set to 1, you could just replace those values
globally rather than mess with the ifelse commands for those values. Only AA
and BB are affected by the value of AorB.
Your apply() function processes the data.frame by row so i is a vector
consisting of all the values in the row. You seem to be coding as if i was a
single integer (as in a for loop).
--
David L Carlson
Associate Professor of Anthropology
Texas AM 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 Priya Bhatt
Sent: Wednesday, May 16, 2012 3:08 AM
To: r-help@r-project.org
Subject: [R] Help needed for efficient way to loop through rows and
columns
Dear R-helpers:
I am trying to write a script that iterates through a dataframe that
looks
like this:
Example dataset called sample:
names - c(S1, S2, S3, S4)
X - c(BB, AB, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AB, NA)
AorB - c(A, A, A, B)
sample - data.frame(names, X, Y, Z, AorB)
for a given row,
if AorB == A, then AA == 2, AB = 1, BA = 1, BB = 0
if AorB == B, then AA == 0, AB = 1, BA = 1, BB = 2
I've been trying to write this using apply and ifelse statements in
hopes
that my code runs quickly, but I'm afraid I've make a big mess. See
below:
apply(sample, 1, function(i) {
ifelse(sample$AorB[i] == A,
(ifelse(sample[i,] == AA, sample[i,] - 2 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 0,
sample[i,] - NA )) )
) , ifelse(sample$AorB[i,] == B),
(ifelse(sample[i,] == AA, sample[i,] - 0 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 2,
sample[i,] - NA) })
Any Advice?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-
guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Help needed for efficient way to loop through rows and columns
Hello,
Your data.frame is composed exclusively of factors, but try this
(I've changed the name to 'sampl', because 'sample' is an R function.)
# logical index vectors
iA - sampl$AorB == A
iB - sampl$AorB == B
new.sampl - data.frame(
apply(sampl, 2, function(x){
iAA - x == AA
iBB - x == BB
x[ iA iAA ] - 2
x[ iA iBB ] - 0
#
x[ iB iAA ] - 0
x[ iB iBB ] - 2
#
x[ x %in% c(AB, BA) ] - 1
x}
))
Hope this helps,
Rui Barradas
Priya Bhatt wrote
Dear R-helpers:
I am trying to write a script that iterates through a dataframe that looks
like this:
Example dataset called sample:
names - c(S1, S2, S3, S4)
X - c(BB, AB, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AB, NA)
AorB - c(A, A, A, B)
sample - data.frame(names, X, Y, Z, AorB)
for a given row,
if AorB == A, then AA == 2, AB = 1, BA = 1, BB = 0
if AorB == B, then AA == 0, AB = 1, BA = 1, BB = 2
I've been trying to write this using apply and ifelse statements in hopes
that my code runs quickly, but I'm afraid I've make a big mess. See
below:
apply(sample, 1, function(i) {
ifelse(sample$AorB[i] == A,
(ifelse(sample[i,] == AA, sample[i,] - 2 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 0,
sample[i,] - NA )) )
) , ifelse(sample$AorB[i,] == B),
(ifelse(sample[i,] == AA, sample[i,] - 0 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 2,
sample[i,] - NA) })
Any Advice?
[[alternative HTML version deleted]]
__
R-help@ mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
View this message in context:
http://r.789695.n4.nabble.com/Help-needed-for-efficient-way-to-loop-through-rows-and-columns-tp4630226p4630248.html
Sent from the R help mailing list archive at Nabble.com.
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R-help@r-project.org mailing list
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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.
Re: [R] Help needed for efficient way to loop through rows and columns
Yes here it is. I actually convert them all as strings, initially using
options(stringsAsFactors=F) at the top of my code.
This what the initial dataframe looks like. Please note this is a toy
dataset:
namesXYZAorB
S1BBBBBBA
S2AABBBBA
S3ABABAAB
S4AAAANAB
And the code to create this initial dataframe is:
names - c(S1, S2, S3, S4)
X - c(BB, AA, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AA, NA)
AorB - c(A, A, B, B)
sample - data.frame(names, X, Y, Z, AorB)
The final data.frame should look like:
names XYZAorB
S1000A
S2200A
S3110B
S400NA B
You're right! - I'll should be able to globally change all ABs and BAs to
1s. Thanks:) I'm not exactly sure how to change AA and BB depending on
AorB for each row though. Thoughts?
Thanks for your help thus far, David.
Best, Priya
On Wed, May 16, 2012 at 6:53 AM, David L Carlson dcarl...@tamu.edu wrote:
Can you show us what you want the final data.frame to look like? You've
created five variables stored as factors and you seem to be trying to
change
those to numeric values? Is that correct?
Since AB and BA are always set to 1, you could just replace those values
globally rather than mess with the ifelse commands for those values. Only
AA
and BB are affected by the value of AorB.
Your apply() function processes the data.frame by row so i is a vector
consisting of all the values in the row. You seem to be coding as if i was
a
single integer (as in a for loop).
--
David L Carlson
Associate Professor of Anthropology
Texas AM 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 Priya Bhatt
Sent: Wednesday, May 16, 2012 3:08 AM
To: r-help@r-project.org
Subject: [R] Help needed for efficient way to loop through rows and
columns
Dear R-helpers:
I am trying to write a script that iterates through a dataframe that
looks
like this:
Example dataset called sample:
names - c(S1, S2, S3, S4)
X - c(BB, AB, AB, AA)
Y - c(BB, BB, AB, AA)
Z - c(BB, BB, AB, NA)
AorB - c(A, A, A, B)
sample - data.frame(names, X, Y, Z, AorB)
for a given row,
if AorB == A, then AA == 2, AB = 1, BA = 1, BB = 0
if AorB == B, then AA == 0, AB = 1, BA = 1, BB = 2
I've been trying to write this using apply and ifelse statements in
hopes
that my code runs quickly, but I'm afraid I've make a big mess. See
below:
apply(sample, 1, function(i) {
ifelse(sample$AorB[i] == A,
(ifelse(sample[i,] == AA, sample[i,] - 2 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 0,
sample[i,] - NA )) )
) , ifelse(sample$AorB[i,] == B),
(ifelse(sample[i,] == AA, sample[i,] - 0 ,
ifelse(sample[i,] == AB || sample[i,] == BA ,
sample[i,] - 1,
ifelse(sample[i,] == BB, sample[i,] - 2,
sample[i,] - NA) })
Any Advice?
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-
guide.html
and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
