I'm not sure if this is the place to post this question, but, I am
having trouble compiling the source code. I do have a suitable C
compiler and f2c but I get this error when I run ./configure
configure: error: --with-readline=yes (default) and headers/libs are
not available
Any ideas? Thanks.
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I have the following code that I am trying to execute using the whole
object approach and get rid of the for loop. I have looked at the
manual and seached the database for examples or similar questions with
no luck. The following example works without any problems.
for (j in 1:186)
{
entropy.cogp[
Uwe,
FYI:
I tried: "data3 <- ifelse(is.na(data1), data2, data1)"
It seems to me that data3 is an array of length 100.
I do NOT end up with a dataset of 5 columns and 20 rows.
Uwe Ligges <[EMAIL PROTECTED]> wrote:
Tom wrote:
> On Tue, 10 Jan 2006 20:25:23 -0500, r user wrote:
I have a data set in the following format:
x<-data.frame(id=c(a,b,c),2005-01-15=c(100,225,425),
2005-02-23=c(1100,2325,4525))
> x
id X2005.01.15 X2005.02.23
1 a 1001100
2 b 2252325
3 c 4254525
I want:
I have a vector of dates.
I wish to find the month end date for each.
Any suggestions?
e.g.
For 12/15/05, I want 12/31/05,
For 10/15/1995, I want 10/31/1995, etc
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I am using R in a Microsoft Windows environment.
I have a dataset called mp1b. I have a variable called h.
h can take a value from -1 to 5.
If h <1, I want to create a new dataset called mp2 that is the same as mp1b:
mp2<-mp1b
If h > 0, I want to set create a data
I am running R 2.2.0 in a Windows XP environment. During my previous r
session, I saved my workspace as 20051123b.Rdata. (On disk, it is ~1.25 gb.)
I have launched R. (I have the following in my application shortcut
<--max-mem-size=4000M>, and although it may not be necessary, I have also
I am running a VERY LARGE regression (many factors, many rows of data) using LM.
I think I have my memory set as high as possible. ( I ran "memory.limit(size
= 4000)")
Is there anything I can do? ( FYI, I "think" I have removed all data I am
not using, and I "think" I have only the d
5,AL,6,32772
2005,TX,7,77477
2005,AL,7,98282
2005,TX,8,73346
2005,AL,8,38943
2005,TX,9,38947
2005,AL,9,70195
2005,TX,10,23890
2005,AL,10,84020
2000,TX,11,na
2005,AL,11,null
Sundar Dorai-Raj <[EMAIL PROTECTED]> wrote:
t c wrote:
> What is the easiest way to cal
What is the easiest way to calculate a percent rank by an index key?
Foe example, I have a dataset with 3 fields:
Year,State, Income ,
I wish to calculate the rank, by year, by state.
I also wish to calculate the percent rank, where I define percent rank as
rank/n.
(n i
I wish to obtain the right-most n characters of a character string? What is
the appropriate function?
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R-help@stat.math.ethz.ch mailing list
https://st
I have the data below in a dataset called test3.
What is the easiest way to get a count, by date, of all numerical values of
var1, and to then add this count to the test3 dataset as a new column?
What I have:
date,var1,cat
1/1/2005,5,a
1/1/2005,12,a
1/1/2005,44,b
2/1/2005,1,
I have a dataset with three variables: date, var1, var2
How can I calculate the correlation, by date, between var1 and var2?
e.g.
datevar1var2
1/1/200154
1/1/200185
1/1/200197
2/1/200172
2/1/200121
2/1/200146
3/1/200135
Can anyone recommend a place to post/look for someone to help me with R? I'm
looking for a consultant/trainer/tutor that knows R well, and can help me over
the phone or via email. Thanks.
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What are the functions available for use with aggregate? Where can a
reference to them be found?
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R-help@stat.math.ethz.ch mailing list
https:/
#x27; must be of length 1"
Thanks.
Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
Try this:
seq(as.Date("2005-01-15"), len = 2, by = "month")[2]
or here is another approach:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/61570.html
On 10/11/05, t c wrote:
&g
#x27; must be of length 1"
Thanks.
Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
Try this:
seq(as.Date("2005-01-15"), len = 2, by = "month")[2]
or here is another approach:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/61570.html
On 10/11/05, t c wrote:
&g
Within an R dataset, I have a date field called date_. (The dates are in the
format -MM-DD, e.g. 1995-12-01.)
How can I add or subtract 1 month from this date, to get 1996-01-01 or
1995-11-01.
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