Displaying 20 results from an estimated 1000 matches similar to: "concatenate vector after strsplit()"
2005 Nov 09
8
Element-by-element multiplication operator?
Is there an element-by-element multiplication in R, like the .* operator in Matlab?
eg: A (2x3)
B (2x3)
C=A.*B
C (2x3)
C = [[a11*b11 a12*b12 a13*b13]; [a21*b21 a22*b22 a23*b23]]
I can't find one...
Thanks
-Mike Gates
2007 Mar 10
3
long character string problem
Hi All
I am having 2 very long character strings (550chars) and I want to put them as
expressions together with c(). The problem is that I also get these
double-quotes, as seen below in 'fct'. How can I remove these double-quotes? I
tried as.name() but it did not work (because of size?). These are creating
trouble with subsequent programs, which I tested with strings that for some
2010 Aug 18
2
combinations
I would appreciate any suggestions on which function to use to write subsequent functions analysing combinations of treatments.
This refers to experimental trials of medical treatments. I want to write routines to analyse various comparisons (combinations)
So .... if 5 treatments are available (t01, t02, t03, t04 and t05) I want to write a general routine that works out all possible
2008 Nov 29
2
Reading mixed tables
Dear R buddies,
This weekend I became interested in solving Google Code Jam problems
using R. I guess R may work very well in this kind of contests but the
input of file has been a problem for me. Take this case for example
(http://code.google.com/codejam/contest/dashboard?c=agdjb2RlamFtchALEghjb250ZXN0cxjRzBQM),
the files are usually of the form:
A(number of lines for group 1)
a11 a12 a13
a21
2012 Feb 16
2
how to rbind matrices from different loops
Dear R experts,
I am having difficulty using loops productively and would like to please
ask for advice. I have a dataframe of ids and groups. I would like to
break down the dataframe into groups, find the unique sets of ids, then
reassemble. My thought was to use a loop, but I have been unable to finish
this loop in a logical way. I would like to find the unique ids for group
1, group 2,
2012 Oct 19
4
Creating a new by variable in a dataframe
Hello,
I have a dataframe w/ 3 variables of interest: transaction,date(tdate) &
time(event_tim).
How could I create a 4th variable (last_trans) that would flag the last
transaction of the day for each day?
In SAS I use:
proc sort data=all6;
by tdate event_tim;
run;
/*Create last transaction flag per day*/
data all6;
set all6;
by tdate event_tim;
last_trans=last.tdate;
Thanks
2009 Jul 10
3
strange strsplit gsub problem 0 is this a bug or a string length limitation?
I was working with the rmetrics portfolioBacktesting function and dug into
the code to try to find why my formula with 113 items, i.e. A1 thru A113,
was being truncated and I only get 85 items, not 113.
Is it due to a string length limitation in R or is it a bug in the strsplit
or gsub functions, or in my string?
I'd very much appreciate any suggestions
============Input script:
2008 Sep 09
1
creating table of averages
Dear Colleagues,
I have a dataframe with variables:
[1] "ID" "category" "a11" "a12"
"a13" "a21"
[7] "a22" "a23" "a31" "a32"
"b11" "b12"
[13] "b13" "b21"
2006 Dec 31
7
zero random effect sizes with binomial lmer
I am fitting models to the responses to a questionnaire that has
seven yes/no questions (Item). For each combination of Subject and
Item, the variable Response is coded as 0 or 1.
I want to include random effects for both Subject and Item. While I
understand that the datasets are fairly small, and there are a lot of
invariant subjects, I do not understand something that is happening
2017 Dec 14
1
match and new columns
Hi Bill,
I put stringsAsFactors = FALSE
still did not work.
tdat <- read.table(textConnection("A B C Y
A12 B03 C04 0.70
A23 B05 C06 0.05
A14 B06 C07 1.20
A25 A23 A12 3.51
A16 A25 A14 2,16"),header = TRUE ,stringsAsFactors = FALSE)
tdat$D <- 0
tdat$E <- 0
tdat$D <- (ifelse(tdat$B %in% tdat$A, tdat$A[tdat$B], 0))
tdat$E <- (ifelse(tdat$B %in% tdat$A, tdat$A[tdat$C], 0))
2009 Dec 17
1
CORRECTION - Generation of Random numbers in a loop
Dear R helpers, please ignore my earlier mail. Here is the corrected mail. Please forgive me for the lapses on my part. Extremely sorry.
Here is the corrected mail.
Dear R helpers
I am having following data
Name Numbers
A11 12
A12 17
A13 0
A11 11
A12 6
A13 0
2017 Dec 13
2
match and new columns
Thank you Rui,
I did not get the desired result. Here is the output from your script
A B C Y D E
1 A12 B03 C04 0.70 0 0
2 A23 B05 C06 0.05 0 0
3 A14 B06 C07 1.20 0 0
4 A25 A23 A12 3.51 1 1
5 A16 A25 A14 2,16 4 4
On Wed, Dec 13, 2017 at 4:36 PM, Rui Barradas <ruipbarradas at sapo.pt> wrote:
> Hello,
>
> Here is one way.
>
> tdat$D <- ifelse(tdat$B %in% tdat$A,
2017 Dec 13
3
match and new columns
Hi all,
I have a data frame
tdat <- read.table(textConnection("A B C Y
A12 B03 C04 0.70
A23 B05 C06 0.05
A14 B06 C07 1.20
A25 A23 A12 3.51
A16 A25 A14 2,16"),header = TRUE)
I want match tdat$B with tdat$A and populate the column values of tdat$A
( col A and Col B) in the newly created columns (col D and col E). please
find my attempt and the desired output below
Desired output
2017 Dec 14
0
match and new columns
Use the stringsAsFactors=FALSE argument to read.table when
making your data.frame - factors are getting in your way here.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Dec 13, 2017 at 3:02 PM, Val <valkremk at gmail.com> wrote:
> Thank you Rui,
> I did not get the desired result. Here is the output from your script
>
> A B C Y D E
> 1 A12 B03 C04 0.70 0 0
2001 Dec 03
3
beginner's questions about lme, fixed and random effects
I'm trying to understand better the differences between fixed and
random effects by running very simple examples in the nlme
package. My first attempt was to try doing a t-test in lme.
This is very similar to the Rail example that comes with nlme,
but it has two groups instead of five.
So I try
a1 <- 1:10
a2 <- 7:16
t.test(a2,a1)
getting t(18)=4.43, p=.0003224. Then I try to do it
2017 Dec 13
0
match and new columns
Hello,
Here is one way.
tdat$D <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$B], 0)
tdat$E <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$C], 0)
Hope this helps,
Rui Barradas
On 12/13/2017 9:36 PM, Val wrote:
> Hi all,
>
> I have a data frame
> tdat <- read.table(textConnection("A B C Y
> A12 B03 C04 0.70
> A23 B05 C06 0.05
> A14 B06 C07 1.20
> A25 A23 A12 3.51
2011 Oct 01
1
[LLVMdev] Tablegen: RegisterInfoEmitter.cpp
Hi,
I understand the idea behind compare_numeric() is to compare strings containing digits in a special way: Do a normal string-compare up to the point where both string elemnts are numerical. Find then an outcome based on the number of consecutive digits in the strings while disregarding the value of the digits, eg a12b < a123.
I guess then this order should hold: a12 == a22 < a1b, for
2011 Aug 05
2
R compare cells in one matrix
Good morning!
Please, could you help me with the problem?
I have a matrix *144x73.*
An example of a matrix:
[,1] [,2] [,3] [,4] [,5]
[1,] 277.4 276.24 275.62 276.55 278.05
[2,] 277.4 276.24 275.55 276.42 277.72
[3,] 277.4 276.24 275.50 276.22 277.39
[4,] 277.4 276.24 275.42 276.02 277.02
[5,] 277.4 276.22 275.37 275.82 276.64
And I want to *compare*its cells
2010 May 27
1
stripplot, lattice
hello,
i can't figure out how to set position of panels of my stripplot -
i`d like the panels of one level of the factor stage (nr. of panels within
each stage, A: 12, B: 12, C: 12, D: 4, each panel representing a site) to be
in one column, with A to D from left to right and with descending site.nr at
each row.
like:
A1 B1 C1 D1
A2 B2 .. ..
A3 .. ..
..
how is this achieved?
any help
2018 Mar 12
0
Equivalent of gtools::mixedsort in R base
???
> y <- sort( c("a1","a2","a10","a12","a100"))
> y
[1] "a1" "a10" "a100" "a12" "a2"
> mixedsort(y)
[1] "a1" "a2" "a10" "a12" "a100"
**Please read the docs!** They say that mixedsort() and mixedorder() both
take a **single