Hi,
Try this:
final3New-read.table(file=real_data_cecilia.txt,sep=\t)
dim(final3New)
#[1] 5369 5
#Inside the split within split, dummy==1 for the first row. For lists that
have many rows, I selected the row with dummy==0 (from the rest) using the
#condition that the absolute difference
The n = 1404 vs. Number of obs =468 looks like the giveaway.
You are passing the subset selection logic as the 3rd positional argument, but
according to the documentation, that is the weights argument.
So, clogit(..., data = dframe, subset = sample==1 glb_ind==Y)
On Jun 7, 2013,
My data frame shows changes on the variable act which records the consecutive
duration (in seconds) of two states (wet-dry) over a few days for several
individuals (identified by Ring). Since I want to work with daytime (i.e. from
dawn till dusk) and night time (i.e. from dusk till next dawn),
It seems to do all I want:
1. matchs the greatest number of firms within an year and industry, by
dimension
2. diferences between dimensions should not be more than 10% or/and 200 (if I
want just the 10%
restrition I think I could substitute 200 for a big number that is impossible
to exist)
Hi,
I have a vector that looks like this:
RowSel -c(0,1,0,1,2,3,0,5,5)
Now I want to select rows from a specific dataframe DF based on that vector
like this:
SubDF - DF[RowSel,]
So this works fine, but I was wondering how I could add blank rows add the
locations in the vector where there is a
On 13-06-08 7:09 AM, Bert Jacobs wrote:
Hi,
I have a vector that looks like this:
RowSel -c(0,1,0,1,2,3,0,5,5)
Now I want to select rows from a specific dataframe DF based on that vector
like this:
SubDF - DF[RowSel,]
So this works fine, but I was wondering how I could add blank rows add the
Thank you so much, Jorge and Arun - I'll give it a try!
Dimitri
On Fri, Jun 7, 2013 at 11:27 PM, arun smartpink...@yahoo.com wrote:
HI,
Tried it on 1e5 row dataset:
l1- letters[1:10]
s1-sapply(seq_along(l1),function(i) paste(rep(l1[i],3),collapse=))
set.seed(24)
Hello
I have a matrix aaa like this:
aa1 aa2 aa3
[1,] 8371.417 27613.57 1170.466
[2,] 14317.999 42421.82 3423.934
[3,] 22026.466 59874.14 8103.084
[4,] 33884.986 84506.34 19176.764
[5,] 57954.968 129824.30 56097.310
where each column represents an empirical
Thanks Janh!!
For others that may be having the same issue, here is what I got from him
and it worked.
The package and be downloaded from
http://cran.r-project.org/src/contrib/Archive/NADA/
--
Hi David,
The author (Lopaka Lee) says that
Try this, Pietro ...
# example data
aaa - matrix(rnorm(60), ncol=3)
bbb - matrix(runif(15), ncol=3)
# calculate quantiles
ccc - sapply(1:dim(aaa)[2], function(i) quantile(aaa[, i], bbb[, i]))
# change rownames
rownames(ccc) - seq(dim(ccc)[1])
Jean
On Sat, Jun 8, 2013 at 8:20 AM, Parodi,
On Jun 8, 2013, at 4:09 AM, Bert Jacobs wrote:
Hi,
I have a vector that looks like this:
RowSel -c(0,1,0,1,2,3,0,5,5)
Now I want to select rows from a specific dataframe DF based on that vector
like this:
SubDF - DF[RowSel,]
So this works fine, but I was wondering how I could add
Hello All,
My previous post remains unanswered probably because the attachment was not
working properly.
So I am re-posting it again.
My problem is in reading an Excel-2003 file through ODBC connection using
RODBC package. Let say I have this Excel file:
RowSel -c(0,1,0,1,2,3,0,5,5)
set.seed(24)
DF- as.data.frame(matrix(sample(1:40,45,replace=TRUE),ncol=5))
RowSel[!as.logical(RowSel)]-NA
DF[RowSel,]
# V1 V2 V3 V4 V5
#NA NA NA NA NA NA
#1 12 11 21 24 30
#NA.1 NA NA NA NA NA
#1.1 12 11 21 24 30
#2 9 25 6 26 26
#3 29 15 4 2 28
HI,
You could also use:
set.seed(24)
aaa - matrix(rnorm(60), ncol=3)
bbb - matrix(runif(15), ncol=3)
ccc1- mapply(quantile,as.data.frame(aaa),as.data.frame(bbb))
ccc - sapply(1:dim(aaa)[2], function(i) quantile(aaa[, i], bbb[, i])) #Jean's
solution
colnames(ccc1)-NULL
identical(ccc,ccc1)
Hello,
And you really don't need colnames(ccc1) - NULL, there's a USE.NAMES
argument to mapply. Just set it to FALSE.
Rui Barradas
Em 08-06-2013 18:28, arun escreveu:
HI,
You could also use:
set.seed(24)
aaa - matrix(rnorm(60), ncol=3)
bbb - matrix(runif(15), ncol=3)
ccc1-
rowSums and Reduce will have the same problems with bad data you alluded to
earlier, eg
cg = 1, hs = 0
But that's something to check for with crosstabs anyway.
Side note: you should check out the microbenchmark pkg, it's quite handy.
Rrequire(microbenchmark)
Rmicrobenchmark(
+
I have a txt file (attached) that defines equivalents among characters
in latin1 (or iso-8859-1), numeric #xxx; codes, HTML entities
and latex equivalents. A portion of the file is shown inline below, but
may not be rendered well in this email.
I'd like to read this into R to use as a
On 13-06-08 4:31 PM, Michael Friendly wrote:
I have a txt file (attached) that defines equivalents among characters
in latin1 (or iso-8859-1), numeric #xxx; codes, HTML entities
and latex equivalents. A portion of the file is shown inline below, but
may not be rendered well in this email.
I'd
Thanks again, guys!
Arun's method worked. I have over 270,000 rows and it took me 1 min.
Dimitri
On Sat, Jun 8, 2013 at 7:47 AM, Dimitri Liakhovitski
dimitri.liakhovit...@gmail.com wrote:
Thank you so much, Jorge and Arun - I'll give it a try!
Dimitri
On Fri, Jun 7, 2013 at 11:27 PM, arun
Hi Dimitri,
No problem.
I noticed that it is slower with more number of rows. You could use
data.table().
##1e6 rows
l1- letters[1:10]
s1-sapply(seq_along(l1),function(i) paste(rep(l1[i],3),collapse=))
set.seed(24)
Hi everyone,
This is probably something very simple but I have just not been able
to figure it out and wonder if perhaps you may know.
I want to get the column index in which a given value is found. Values
to match are found in the last column of the dataframe. for instance
dt=
v1 v2
Dear
I would like to find a nice way to plot the predicted survival obtained
from a cph fit and few covariates as Age etc...
I am working with predict from rms package but i found a problem after
the lines
predict(cox5, type=lp, se.fit=FALSE, conf.int=TRUE, conf.type=c('mean'))
Error in
Hi,
I observed that if I use window() function available with the 'zoo' package to
extract a portion of my times series and if that time series data is stored in
some 'zoo' object with only 1 column, then the resulting zoo object is becoming
vector.
Here is my observation:
library(zoo)
i need HELPPP!! how do i calculate the RMSE value for two GEV models?first GEV
is where the three parameters are constant.2nd GEV model a 4 parameter model
with the location parameter is allowed to vary linearly with respect to time
while holding the other parameters at constant.
is there any
Dear R-Users,
I have a vector x - 1:10 and I would like to produce a dotchart where the
colour of the dot is black if x = 5 and red otherwise.
If I use
x - 1:10
dotchart(x, col=black)
then all dots are obviously of black colour. Has anybody in the mailing
list already dealt with a similar task
Hello,
I am having difficulty with a command. An error message pops up saying:
Error: object 'RWGJ.wload' not found. I have installed the packages needed
to run the analysis, and have saved them to my working directory.
--
View this message in context:
Hi everyone,
I have one problem with sparse matrix(package SparseM). I tried to
inverse a sparse matrix with solve function in SparseM package. But I
got warning:Error in .local(x, ...) : insufficient space.
p=solve(coeff,tmpmax=120*nrow(coeff))
Error in .local(x, ...) : insufficient
Hello,
CGIwithR apparently is not available on CRAN for R 2.15.x, so I
downloaded the source (0.73) and tried:
~/Downloads$ R CMD INSTALL CGIwithR
* installing to library ‘/home/rex/R/x86_64-pc-linux-gnu-library/2.15’
* installing *source* package ‘CGIwithR’ ...
configure: creating
Hi,
You could try this:
dat2- read.table(text='
case pin some_data
A 1 data
A 2 data
A 1 data
A 2 data
B 1 data
B 2 data
',sep=,header=TRUE,stringsAsFactors=FALSE)
dat2[!duplicated(dat2[,1:2]),]
# case pin some_data
#1 A 1 data
#2 A 2 data
#5 B 1
Dear List,
after a night of calculating, R says goodbye with a segmentation fault.
*** caught segfault ***
address 0x29, cause 'memory not mapped'
In my functions I subsequently read in network files of about 20KB using
the IGraph package. Admittedly, I read in about 1 million files, in
total
On 09/06/13 01:21, Marco Bianchi wrote:
Dear R-Users,
I have a vector x - 1:10 and I would like to produce a dotchart where the
colour of the dot is black if x = 5 and red otherwise.
If I use
x - 1:10
dotchart(x, col=black)
then all dots are obviously of black colour. Has anybody in the
Hi,
dat1$colIndex-apply(dat1,1,function(x) match(max(x),x))
dat1
# v1 v2 v3 v4 max colIndex
#1 0 0 1 2 2 4
#2 0 1 2 0 2 3
#3 1 2 3 4 4 4
A.K.
- Original Message -
From: Camilo Mora cm...@dal.ca
To: r-help@r-project.org
Cc:
Sent: Saturday, June
On Jun 8, 2013, at 4:58 AM, matteo pettinari wrote:
Dear
I would like to find a nice way to plot the predicted survival obtained
from a cph fit and few covariates as Age etc...
I am working with predict from rms package but i found a problem after
the lines
predict(cox5, type=lp,
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