Dear all,
Thanks to Marc and Bart for looking in to this. It turns out to be due to a
typo of me: I misspelled channel.
Best regards,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie Kwaliteitszorg / team
Hi,
By chance I came across an iESS buffer showing that R had been started
with this option:
R --no-readline
This seems to prevent the use of history() which I noticed earlier.
Why is this start option chosen, and where can I change this?
ESS version 5.13, R:
sessionInfo()
R version
Thanks for the off list plot. I don't see anything untoward in the
residual plots here - a good way of getting a feel for what residual
plots should look like if the model is ok, is to simulate some data from
your fitted model using rnbinom and the fitted values, refit the model
to the
Hi, in the code below, I am drawing 1000 samples from two beta
distributions, each time using the same random number seed.
Using set.seed(80) produces results I expect, in that the differences
between the distributions are very small.
Using set.seed(20) produces results I can't make sense of.
Hi Pascal,
Well, as i see it, this is no error, just a simple message printed to
the screen claiming that it is an error. All the mechanisms in R to
handle errors (e.g a stop of code execution etc) are, however, not
initiated.
Cheers
Jannis
On 06.12.2012 02:53, Pascal Oettli wrote:
Hi,
Hello,
Inline.
Em 06-12-2012 03:52, Rebecca escreveu:
I'm trying to find a bootstrap based confidence band for a linear model.
I have created a data set with X and Y
X=runif(n,-1.25,1.25)
e=rnorm(n,0,1)
Y=exp(3*X)+5*sin((30*X)/(2*pi))+2*e
fit=lm(Y~X)
You cannot expect this model, a first
Hi Jannis,
The variable is not found. That is why there is an error. Every time I
get an error message using 'RNetCDF', I am able to debug the code.
Regards,
Pascal
Le 06/12/2012 20:41, Jannis a écrit :
Hi Pascal,
Well, as i see it, this is no error, just a simple message printed to
the
Do you want to cause an error or catch one? Try removing the try() and see
if that helps.
This has nothing to do with RNetCDF you could as easily have caught another
more basic error.
On Thursday, December 6, 2012, Jannis wrote:
Hi Pascal,
Well, as i see it, this is no error, just a simple
On 12-12-06 12:01 AM, Worik R wrote:
If you `source(test.R, keep.source=FALSE)`, you will see that the
line number is not reported.
Not always.
I have code that uses sapply to call another function and all I get back
is the line of the sapply.
Useful but in the 21st century I do
Thanks for the response. The drop option of dcast was the first thing I
tried. Sorry for the lack of reproducibility, but my data set is large, I
couldn't find anything in the package examples, and I had hoped the
modification would be straightforward. Using dcast was my first choice
because it
Thanks for the response. It turns out this will work if the data include no
other variables with missings; unfortunately, that was the case. I was
successful using xtabs with the extra step of converting the returned table
to a data frame. Thanks again!
-M.L.
Hi,
?na.omit()
dat1-read.table(text=
Esteemed UseRs,
I've got many biggish data frames which need a lot subsetting, like in
this example:
# example
eg - data.frame(A = rnorm(10), B = rnorm(10), C = rnorm(10), D = rnorm(10))
egsub - eg[eg$A 0 eg$B 1 eg$C 0, ]
egsub
egsub2 - eg[eg$A 1 eg$B 0, ]
egsub2
# To make this
Worik,
Please look at the developer and debug packages that have been in ESS since
summer 2012. They are designed to help you maneuver through complicated
code.
Among other things, it allows you to insert breakpoints at the source code
level.
I suggest you start with the detailed discussion
Hello,
Something like this?
func - function(data, A, B, C){
f - function(a)
function(x) eval(parse(text = paste(x, a)))
iA - if(is.na(A)) TRUE else f(A)(data$A)
iB - if(is.na(B)) TRUE else f(B)(data$B)
iC - if(is.na(C)) TRUE else f(C)(data$C)
data[iA iB iC, ]
}
You have not indicated why the subset function is insufficient for your needs...
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#.
On Thursday, December 6, 2012, Richard M. Heiberger wrote:
Worik,
Please look at the developer and debug packages that have been in ESS since
summer 2012. They are designed to help you maneuver through complicated
code.
Among other things, it allows you to insert breakpoints at the source
What OS are you using? It makes a difference.
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
You should be careful that you really want to convert the underlying numeric
representation of a factor to your Rank variable ( see str(Vote) ). If you only
have three levels as shown it will work, but if you have more than one digit
you will probably need to use the as.is argument to the
This is off topic here. You should post on the ESS help list.
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
On 06.12.2012 15:54, Jeff Newmiller wrote:
What OS are you using? It makes a difference.
... and R version.
Uwe Ligges
---
Jeff NewmillerThe . . Go Live...
SamplingStrata (1.0) is now available on CRAN.
Package SamplingStrata permits the determination of the best stratification
of a sampling frame, the one that ensures the sample of minimum cost, under the
condition to satisfy precision constraints in a multivariate and multidomain
case.
This
Hi,
thanks for your answer, but in this way R delete all rows with NA. In
all rows I have values but also NA. I don´t know why it delete all of
them.
I hope you can give me an idea.
Thanks.
Best regards,
str(temp)
'data.frame': 112598 obs. of 35 variables:
$
HI Dominic,
You are right. na.omit() will delete rows containing at least 1 NAs. Suppose,
a function deletes only NAs separately for each column, then the length of
each column will be different.
According to ?data.frame()
Objects passed to ‘data.frame’ should have the same number of
Dear all:
I¡¯m trying to get unbiased feature importance of my data via package
¡°party¡±, which contains 1-5 integer value, and a few numeric values
attributes. The class label is 1-5 integer value as well. In total I have 20
features with 1100 observations. I checked the type my data
Hi,
May be this helps:
Lines-Charge Strobe [1]
Charge FC [2]
Charge SG [3]
Carcass FC [1]
Carcass Strobe [2]
Carcass SG [3]
Chart Strobe [1]
Chart FC [2]
Chart SG [3]
Boy Strobe [1]
Boy FC [2]
Boy SG [3]
Wires Strobe [1]
Wires SG [2]
Hi again,
the previous answers were great. I was able to do what was planned.
Now, I would like to do the following to a matrix:
|| year | event | team | total ||
where I can have multiple event per team, but each team only has
a year and a total. Thus, this table has multiple lines for
Hi,
In addition to ?ave(),
You could also use ?tapply() or ?aggregate() if this is what you meant.
Lines-Charge Strobe [1]
Charge FC [2]
Charge SG [3]
Carcass FC [1]
Carcass Strobe [2]
Carcass SG [3]
Chart Strobe [1]
Chart FC [2]
Chart SG [3]
Boy Strobe
Thanks Michael and Pascal for your replies,
sorry if I did not formulate my post precisely enough. My example code
was meant to produce an error to demonstrate the behaviour that I
interpretet as not causing real R errors. Also without the try()
funtion around it to me it seems that just
Thank you all for your help!
I used the function big.matrix, from a package named bigmemory, to
allocate a large matrix 50k x 50k
(http://www.inside-r.org/packages/cran/bigmemory/docs/bigmemory).
And I followed the suggestions from Sarah to do the calculations fastly!
Thank you very much!
Hello together,
i have a list of numbers, like this one
AB C
1.1 1.2 1.3
i export this list into an excel file and want now color these numbers
according to her value.
I want every color under 1,25 is red, and every color over 1,25 is green.
How can i do this with RDCOMClient ?
I know
I have Windows XP Professional Version 2002 and the R-Version 2.1.1.
I did cluster analysis with the cluster package and the agnes (method =
ward).
The results are satisfactory.
But the dendrogram of agnes is confused to work with the results.
Is there a tool, I can get a clear arrangement
i tried it this way, but this won't help.
O3R - sh$PT_IST(zellen_other)
O3RF - O3R$Font()
O3RF[[Bold]] - TRUE
O3RF[[Size]] - 10
O3RF[[Color]] -5287936
perhabs you can help me, how i can differenz between the values of more and
less than 1,25?
Thanks.
Mat
--
View this message in context:
Hi Dominic,
In that case, this might help you.
set.seed(15)
datos-as.data.frame(matrix(sample(c(1:20,NA),30,replace=TRUE),ncol=6))
do.call(rbind,lapply(split(datos,1:nrow(datos)),function(x)
paste(x[!is.na(x)],collapse=;)))
# [,1]
#1 13;3;18;17;14
#2 5;18;14;10;17;3
#3
Dear All,
I am trying to fit a generalized linear model with bigglm() (v. 0.8) on
a large dataset containing many zeros under a poisson distribution (in R
2.15.0, 64 bit Ubuntu 12.04). The bigglm() call gives an error message
(NA/NaN/Inf in foreign function call (arg 3)). If I understand
Hi Petr,
Thanks for the email, the number of parameters is not 3 because I am trying to
fit a parameter for each treatment level, therefore the start vector changes
depending on the fixed statement (see below).
I finally got some of these to workbut for some reason I cannot run a
complete
All,
Can someone describe what
x[] - lapply(x, as.numeric)
I see that it is putting the list elements into a data frame. The
results for lapply are a list, so how does this become
a data frame.
Thanks,
Juliet
On Mon, Dec 3, 2012 at 5:49 PM, Fisher Dennis fis...@plessthan.com
Rui,
Indeed it does help. Also very happy to see eval() and parse() employed
and demystified here.
In Rdulation,
Karl
On 06/12/12 15:48, Rui Barradas wrote:
Hello,
Something like this?
func - function(data, A, B, C){
f - function(a)
function(x) eval(parse(text = paste(x,
Dear R Users,
I am working in an environment in which I am not able to compile any code. Sad,
but true.
Is there a Windows 32-bit version of 2-15.2 anywhere ? I am currently unable to
use packages Matrix and mgcv because they appear to have been compiled for
2-15.2 but only 2-15.1 is
Hello,
I would like to use substitute in a list to evaluate the formals
arguments using the environment define by the arguments list. For instance :
f1 - function(x, y = 1:x){
ans - as.list(match.call())
##possible args:
frmls - formals(as.character(ans[[1]]))
## eval formals locally
Hi Jeff,
Subset is indeed what's reuqired here. But using it every time it's
needed was generating excessive amounts of obtuse code. So for the sake
of clarity and convenience i wanted a wrapper function to replace these
repetitious subsets.
Although Rui's example works just fine, love to
On 06.12.2012 17:30, Uzuner, Tolga I wrote:
Dear R Users,
I am working in an environment in which I am not able to compile any code. Sad,
but true.
Is there a Windows 32-bit version of 2-15.2 anywhere ? I am currently unable to
use packages Matrix and mgcv because they appear to have been
Dear all,
I studied in tank prey fish behavior. Using the design described below
(and R code), I want to test the effects of both habitat and predator
(and interaction) on prey fish's vertical distribution, which was
recorded (with repeated measures) as a categorical variable.
I found that
Thank you for all this, but it appears to be the case that while the packages
have been compiled for 2-15.2, the version of R available for download at CRAN
is 2-15.1 . I have submitted another email into the list asking for the 2-15.2
version (sadly, I am not able to compile code in my working
Odd... I am seeing 2-15.1
This is the URL I am going to:
http://cran.r-project.org/bin/windows/base/R-2.15.1-win.exe
I have tried Imperial College London, and University of Bristol.
-Original Message-
From: Uwe Ligges [mailto:lig...@statistik.tu-dortmund.de]
Sent: 06 December 2012
Dear friends
Hello
I'm a PhD student in Edinburgh University and interested in survival
analysis. By chance, I found design library in Splus software. I have
some questions about it and
it's highly appreciated if you can help me.
In its help (Design library help) I found the topics(not the
Hello,
Because x[] keeps the dimensions, unlike just x.
Hope this helps,
Rui Barradas
Em 06-12-2012 16:24, Juliet Hannah escreveu:
All,
Can someone describe what
x[] - lapply(x, as.numeric)
I see that it is putting the list elements into a data frame. The
results for lapply
Hi Dominic,
You could also do this:
set.seed(15)
datos-as.data.frame(matrix(sample(c(1:20,NA),30,replace=TRUE),ncol=6))
res1-unlist(lapply(split(datos,1:nrow(datos)),function(x)
paste(x[!is.na(x)],collapse=;)))
dat1-data.frame(scan(textConnection(res1),wh=a),stringsAsFactors=FALSE)
Try a different CRAN mirror. My local mirror shows 2.15.2 for Windows
as being available.
Sarah
On Thu, Dec 6, 2012 at 11:30 AM, Uzuner, Tolga I
tolga.i.uzu...@jpmorgan.com wrote:
Dear R Users,
I am working in an environment in which I am not able to compile any code.
Sad, but true.
Is
First, you are using a very old version of R. The current version is 2.15.2.
The version you are using was released in summer 2005 so you should upgrade as
soon as possible.
Second, there are many tools available for cluster analysis. You should tell us
exactly what you trying to do, not give
On 06.12.2012 17:46, Uzuner, Tolga I wrote:
Odd... I am seeing 2-15.1
This is the URL I am going to:
http://cran.r-project.org/bin/windows/base/R-2.15.1-win.exe
Yes, that one is still there, but actually 2.15.2 is linked from
http://cran.r-project.org/bin/windows/base/
Uwe Ligges
I
You ask me to provide code when you have only described your solution rather
than your problem. That limits my options more than I care to allow for
investing my time.
When I think of problems that require repetitive subsetting I tend to look for
solutions involving aggregation (?aggregate,
Hello,
I'm using Windows 7 and I've downloaded my version of R from a CRAN site:
http://cran.ma.imperial.ac.uk/
sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=Portuguese_Portugal.1252 LC_CTYPE=Portuguese_Portugal.1252
[3]
Rajashekar,
Please look at as.dendrogram() method, which returns a data structure
containing the whole dendogram. Also, you can use $merge on hclust object
to understand how the merging works. From the merge matrix, you can
recreate the dendogram by yourself.
Sagnik
On Thu, Dec 6, 2012 at 11:52
Dear R-help users,
In the last couple of days there has been a greatly increased
attempt to sneak spam through to the R-help mailing list. A few
of these spam messages have made it into the list, but the
majority have been discarded by the moderators. The spam
messages have been posted to the
On 06.12.2012 17:17, rajashekar wrote:
Dear friends
Hello
I'm a PhD student in Edinburgh University and interested in survival
analysis. By chance, I found design library in Splus software. I have
some questions about it and
it's highly appreciated if you can help me.
In its help (Design
Uzuner, Tolga tolga.i.uzu...@jpmorgan.com
on Thu, 6 Dec 2012 16:42:37 + writes:
Thank you for all this, but it appears to be the case that while the
packages have been compiled for 2-15.2, the version of R available for download
at CRAN is 2-15.1 . I have submitted another email
Many thanks !
Tolga
-Original Message-
From: Martin Maechler [mailto:maech...@stat.math.ethz.ch]
Sent: 06 December 2012 17:19
To: Uzuner, Tolga I
Cc: r-help@r-project.org
Subject: Re: [R] Matrix package will not loead
Uzuner, Tolga tolga.i.uzu...@jpmorgan.com
on Thu, 6 Dec 2012
Thanks, it does help. Is it possible to elaborate on how specifically
why this syntax
preserves dimensions. It this correct to just say that even though
lapply returns a list, x[] forces x to have the
same dimensions?
On Thu, Dec 6, 2012 at 11:53 AM, Rui Barradas ruipbarra...@sapo.pt wrote:
Hello,
Yes, x[] forces x to keep it's dimensions. In your original post you've
asked how does this become a data frame. It doesn't _become_, it
already _is_ one. The same goes for vectors, matrices and arrays. The
dimensions stay the same.
Rui Barradas
Em 06-12-2012 17:39, Juliet Hannah
On 06/12/2012 11:00, Jonathan Minton wrote:
Hi, in the code below, I am drawing 1000 samples from two beta
distributions, each time using the same random number seed.
Using set.seed(80) produces results I expect, in that the differences
between the distributions are very small.
Using
My problem is that using [ every time i want to extract my data of
interest is cumbersome and verbose for the next guy suffering through
reading my code. Since my extractions are always on the same columns and
depend on either , or neither, a wrapper function or perhaps
different function
I have written a program to solve a particular logistic regression problem
using IRLS. In one step, I need to integrate something out of the linear
predictor. The way I'm doing it now is within a loop and it is as you would
expect slow to process, especially inside an iterative algorithm.
I'm
On Dec 6, 2012, at 10:10 AM, Doran, Harold wrote:
I have written a program to solve a particular logistic regression problem
using IRLS. In one step, I need to integrate something out of the linear
predictor. The way I'm doing it now is within a loop and it is as you would
expect slow to
Hi Pierre,
Another option to model categorical data with a multinomial outcome is
MCMCglmm (see example at
http://hlplab.wordpress.com/2009/05/07/multinomial-random-effects-models-in-r/)
or glmmADMB (http://glmmadmb.r-forge.r-project.org/ -- this one
doesn't seem to be on CRAN). But I haven't
You can't vectorize the loop because integrate() is not vectorized, but you
really need to pass only one index variable if you redefine your function so
that you are not re-creating it for each step in the loop. That would let
you use sapply(). Here's a toy example that should generalize to your
I want to fit a series of lme() regression models that differ only in the
degrees of freedom of a ns() spline. I want to use a wrapper function to do
this. The models will be of the form
y ~ ns(x, df=splineDF)
where splineDF is passed as an argument to a wrapper function.
This works fine if
Hi Tim,
I have a question and was wondering if you could help me solve it. I have a set
of paired data, and have generated 50 bootstrap samples on this in R. However,
I am struggling to find codes to find the corresponding estimates, and an
estimate for the variance of theta-hat. Any help
Apologies - I intended to add that info at the end: OS X 10.8.2 and R 2.15.1.
Many thanks.
R.Version()
$platform
[1] x86_64-apple-darwin9.8.0
$arch
[1] x86_64
$os
[1] darwin9.8.0
$system
[1] x86_64, darwin9.8.0
$status
[1]
$major
[1] 2
$minor
[1] 15.1
$year
[1] 2012
$month
[1] 06
$day
[1] 22
Hi, everyone:
I have multiple dataset (say 100) in different subdirectory. They have same
name and exactly same format. I want to get summary for some columns for
each of these dataset (such as mean, SD etc), and list the summary in one
output file. It is for sure not effective if I do this one
Hi,
It is better to provide an example dataset.
Try this:
# example on data.frame
dat1-data.frame(year=rep(c(1998,1999,2000),each=3),event=rep(LETTERS[1:3],times=3),team=rep(1:3,each=3),total=rep(c(300,320,140),each=3))
library(plyr)
res-ddply(dat1,.(year,team),function(x) colMeans(x[4]))
res
Good morning,
I am analyzing a dataset composed by 364 subjects and 13 binary variables
(0,1 = absence,presence).
I am testing possible association (co-presence) of my variables. To do
this, I was trying with cluster analysis.
My main interest is to check for the significance of the obtained
Hi R users,
Id like to get an expected value for a minimum value from order
statistics of sample size, say, 5 for standard normal distribution, and the
formula would be 5* Integral (from -inf to Inf) x*f(x)* (1-F(x))^4,where
f(x) and F(x) are a standard normal density and a cumulative
Hi guys,
I'm very new to R and have been teaching myself over the past few months - it's
a great tool and I'm hoping to use it to analyse my PhD data.As I'm a bit of a
newb, I'd really appreciate any feedback and/or guidance with regards to the
following questions that relate to generalized
Brilliant, thanks very much!! Works fine.
Dan
On 6 Dec 2012, at 18:25, arun kirshna [via R] wrote:
Hi,
Your question is not very clear. I hope you are not looking for the subset
option in summary(lm()).
If you want just the summary(), then use '' or '|'
For e.g.
Dear all, let say I have following data:
dat - structure(list(V1 = structure(c(1L, 4L, 5L, 3L, 3L, 5L, 6L, 6L,
4L, 3L, 5L, 6L, 5L, 5L, 4L, 4L, 6L, 2L, 3L, 4L, 3L, 3L, 2L, 5L,
3L, 6L, 3L, 3L, 6L, 3L, 6L, 1L, 6L, 5L, 2L, 2L), .Label = c(C,
G, I, O, R, T), class = factor), V2 = c(0L, 0L, 0L,
1L,
HI Brian,
If ?names() work for you, then:
x - rnorm(10)
myindex - seq(from = 1,to = 20, by = 2)
myindex1-seq(from=1,to=30,by=3)
fun1-function(vec1,indx){
y-numeric()
y-na.omit(y[indx]-vec1)
names(y)-indx
y}
fun1(x,myindex)
# 1 3 5 7
Hi
I've written the following program:
#include R.h
#include Rdefines.h
#include Projector.h
SEXP Projector2(SEXP L, SEXP G, SEXP W, SEXP xymod, SEXP modif){
int nprot=0;
PROTECT(L=AS_NUMERIC(L));nprot++;
PROTECT(G=AS_NUMERIC(G));nprot++;
PROTECT(W=AS_NUMERIC(W));nprot++;
On 06/12/2012 2:28 PM, Jacob Wegelin wrote:
I want to fit a series of lme() regression models that differ only in the
degrees of freedom of a ns() spline. I want to use a wrapper function to do
this. The models will be of the form
y ~ ns(x, df=splineDF)
where splineDF is passed as an argument
If I understand what you want correctly, aggregate() should do it.
aggregate(V3 ~ V1 + V2, mean, data=dat)
V1 V2V3
1 C 0 0.500
2 G 0 1.000
3 I 0 0.333
4 O 0 1.000
5 R 0 0.000
6 T 0 0.833
7 I 1 0.4285714
8 O 1 0.000
9 R 1 0.667
I'm calling a list of symbols and then using a function to build a data
frame from that symbol list. It works great until I introduce this index
symbol from yahoo '^GSPC'. When and index symbol is introduced I get and
error which is below.
Data - symbolFrame(symbols)
Error in get(S) :
Mindy-
If the sub-directories are named in a structured way --- say sd1, sd2,
sd3, ..., sd100 --- then one option is a simple for-loop. Something like
the code below.
-tgs
directory.path - '~/blahblah/' # or 'C:/blahblah/' for windows
sd.names - paste(directory.path,'sd',1:100,sep=)
You may have an unfinished statement in Projector.h, which you didn't show.
(The error message says line 5, which is immediately after #include
Projector.h.)
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org
You can directly use the tapply function.
-tgs
tapply(dat[,3],dat[,-3],mean)
On Thu, Dec 6, 2012 at 3:03 PM, Sarah Goslee sarah.gos...@gmail.com wrote:
If I understand what you want correctly, aggregate() should do it.
aggregate(V3 ~ V1 + V2, mean, data=dat)
V1 V2V3
1 C 0
You are more likely to get a helpful (or any) response on mixed models
issues by posting to the r-sig-mixed-models list, not here.
-- Bert
On Thu, Dec 6, 2012 at 11:12 AM, Ben Gillespie nebs...@hotmail.com wrote:
Hi guys,
I'm very new to R and have been teaching myself over the past few
Kyong-
It isn't clear to me why are you using a double integral. You have the pdf
and your goal is to calculate the expected value of a univariate random
variable (the first order statistic).
Shouldn't the expected value be E[X_(1)] = int x * 5 * f(x) *
(1-F(x))^4 dx? A single integral?
Here
Converting to factors does not get all combinations.
v3mean - aggregate(V3~V1+V2, dat, mean)
cats - with(dat, expand.grid(V1=unique(V1), V2=unique(V2)))
merge(cats, v3mean, all=TRUE)
V1 V2V3
1 C 0 0.500
2 C 1NA
3 G 0 1.000
4 G 1NA
5 I 0
Do not use html in r-help emails. Look below at what happens to your data.
The error message is telling you that t(data) is not numeric.
str(data)
That will tell you what kind of data you have.
--
David L Carlson
Associate Professor of Anthropology
R doesn't form opinions about your data. If you are not paying attention to
what the functions you call expect to receive, then you may find your
experience with R is frustrating.
In this case, we have no idea what the function symbolFrame is, or what it
expects to receive (and it did not come
Folks:
Say I have a set of histogram breaks:
breaks=c(1:10,15)
# With bin ids:
bin_ids=1:(length(breaks)-1)
# and some data (note that some of it falls outside the breaks:
data=runif(min=1,max=20,n=100)
***
What is the MOST EFFICIENT way to classify data into the histogram bins
(return the
I see this discontinuity at '2010-04-04 02:26:05' on my Windows 7 x64 with R
2.15.2. I also see it for time zone America_Los_Angeles at '2010-11-07
01:23:09'.
I am not entirely sure what the correct behavior should be, since the string
does not specify whether it is in daylight or standard
?cut
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#..
?findInterval
On Thu, Dec 6, 2012 at 3:00 PM, Jonathan Greenberg j...@illinois.eduwrote:
Folks:
Say I have a set of histogram breaks:
breaks=c(1:10,15)
# With bin ids:
bin_ids=1:(length(breaks)-1)
# and some data (note that some of it falls outside the breaks:
The R rms package is a major update to the Design library. See
http://biostat.mc.vanderbilt.edu/Rrms
rms is not available for S-Plus.
As Uwe said if you are really using S-Plus this is not the right list to
use.
Frank
rajashekar wrote
Dear friends
Hello
I'm a PhD student in Edinburgh
My purpose is to make a graphical representation using the command persp
of a digital terrain model. I have to start form these points:
-a digital terrain model (computed on 25 meters)
-the same digital terrain model, this time computed on 5 meters
These data are easily available as .txt files
Thanks Bert - I was unaware of that list. I have since posted my questions
there (in plain text).
Date: Thu, 6 Dec 2012 12:50:05 -0800
Subject: Re: [R] lme4 glmer general help wanted - code included
From: gunter.ber...@gene.com
To: nebs...@hotmail.com
Hi,
You can also use
library(plyr)
ddply(dat,.(V1,V2),summarise,V3=mean(V3),.drop=FALSE)
# V1 V2 V3
#1 C 0 0.500
#2 C 1 NaN
#3 G 0 1.000
#4 G 1 NaN
#5 I 0 0.333
#6 I 1 0.4285714
#7 O 0 1.000
#8 O 1 0.000
#9 R 0 0.000
#10 R
Hi list,
I have a problem which I was stuck on for a while, and after many days
still cannot find a solution to.
I have a matrix, measuring m X n. An example matrix will be this:
dput(sample)
structure(c(2315101, 2315102, 2315103, 2315104, 2315105, 2315107,
2315108, 2315110, 2315112, 2315114,
Hi, Jeremy!
... I have a matrix, measuring m X n. An example matrix will be this:
... [snip] ...
What I want to do is actually statistical manipulation of this matrix.
To be more precise, I want to calculate the probability of each value,
based on the assumption of a normal distribution,
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