Folks:
I was wondering if you all would suggest some helpful RStudio
configurations that make recording a session via e.g. zoom the most useful
for students doing remote learning. Thoughts?
--j
--
Jonathan A. Greenberg, PhD
Randall Endowed Professor and Associate Professor of Remote Sensing
Gl
Folks:
Consider the following two use cases:
goodfunction <- function()
{
stop("Something went wrong..."
}
# vs.
badfunction <- function()
{
notgood()
}
Is there a way for me to test if the functions make use of a stop()
statement WITHOUT modifying the stop() output (assume I can't mod the
fun
Folks:
Is there an easy function to open a finder window (on mac) or windows
explorer window (on windows) given an input folder? A lot of times I want
to be able to see via a file browser my working directory. Is there a good
R hack to do this?
--j
[[alternative HTML version deleted]]
R-helpers:
I'm trying to determine the frequency of characters for a matrix
applied to a single dimension, and generate a matrix as an output.
I've come up with a solution, but it appears inelegant -- I was
wondering if there is an easier way to accomplish this task:
# Create a matrix of "factors
R-helpers:
I posted a message to the statet listserv, but I thought I'd ask here
as well since it is one of the major R developer environments-- has
anyone gotten the StatET plugin for Eclipse working with R 3.1.0 yet?
Any tricks? I did manage to get rj updated to 2.0 via:
install.packages(c("rj
gineer (Solar/BatteriesO.O#. #.O#. with
> /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
> ---
> Sent from my phone. Please excuse my brevity.
>
> On April 8, 2014 8:
R-helpers:
One of the minor irritations I have is copying paths from Windows
explorer, which look like:
C:\Program Files\R\R-3.0.3
and using them in a setwd() statement, since the "\" is, of course,
interpreted as an escape character. I have to, at present, manually
add in the double slashes or
R-helpers:
Hopefully this is an easy one. Given a lookup table:
mylevels <- data.frame(ID=1:10,code=letters[1:10])
And a set of values (note these do not completely cover the mylevels range):
values <- c(1,2,5,5,10)
How do I convert values to a factor object, using the mylevels to
define the
R-helpers:
I was wondering, given a vector of data, if there is a way to
calculate the break points based on the breaks= parameter from
histogram, but skipping all the other calculations (all I want is the
breakpoints, not the frequencies). I can, of course, simply run the
histogram and extract t
data' and the the definition of the new
> function would persist through the rest of the session and could be
> source()-ed in further sessions.
>
> --
> David.
>
>
> On Mar 16, 2014, at 2:09 PM, Jonathan Greenberg wrote:
>
>> R-helpers:
>>
>>
R-helpers:
I'm having some trouble with this one -- I figure because I'm a bit of
a noob with S3 classes... Here's my challenge: I want to write a
custom predict statement that is triggered based on the presence and
class of a *newdata* parameter (not the "object" parameter). The
reason is I am
R-helpers:
I was curious if anyone developed a package/approach to installing
packages directly from the R-forge SVN subsystem (rather than waiting
for it to build)? I can, of course, SVN it command line but I was
hoping for an install.packages("svn://") sort of approach. Cheers!
--j
--
Jonat
R-helpers:
I'm guessing this is an easy one for some of you, but I'm a bit
stumped. Given some arbitrary function (doesn't matter what it does):
myfunction <- function(a,b,c)
{
return(a+b+c)
}
I want to test this function for the presence of the ellipses ("...")
and, if they are missing, create
rvey.ultimate.cluster = FALSE)
>> if (is.null(getOption("survey.want.obsolete")))
>> options(survey.want.obsolete = FALSE)
>> if (is.null(getOption("survey.adjust.domain.lonely")))
>> options(survey.adjust.domain.lonely = FALSE)
>> if
detected; `dir/subdir/linkToUpperDir' is part of the
> same file system loop as `dir'.
> dir/IMPORTANT_1
>
> Bill Dunlap
> Spotfire, TIBCO Software
> wdunlap tibco.com
>
>
>> -----Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-h
ot;,...) That'll teach
me not to copy/paste from my code...
On Fri, Sep 27, 2013 at 2:36 PM, Ben Bolker wrote:
> Jonathan Greenberg illinois.edu> writes:
>
>>
>> R-helpers:
>>
>> I'm running a file search on my entire drive (Mac OS X) using:
>>
R-helpers:
I'm running a file search on my entire drive (Mac OS X) using:
files_found <-
list.files(dir="/",pattern=somepattern,recursive=TRUE,full.names=TRUE)
where somepattern is a search pattern (which I have confirmed via a
unix "find / -name somepattern" only returns ~ 3 results).
I keep g
In the last week, SOMETHING on my system must have changed because
when trying to library() or install.packages() on R 3.0.1 x64 on a
Windows 2008 R2 server:
> library("raster")
Error in normalizePath(path.expand(path), winslash, mustWork) :
path[1]="D:/Users/[UID]/Documents/R/win-library/3.0":
R-helpers:
One of my intrepid students came up with a solution to a problem where
they need to write a function that takes a vector x and a "scalar" d,
and return the indices of the vector x where x %% d is equal to 0 (x
is evenly divisible by d). I thought I had a good handle on the
potential so
For matrices, colMeans/rowMeans are quick, vectorized functions. But
say I have a higher dimensional array:
moo <- array(runif(400*9*3),dim=c(400,9,3))
And I want to get the mean along the 2nd dimension. I can, of course,
use apply:
moo1 <- apply(moo,c(1,3),mean)
But this is not a vectorized
happening.
>
>
> On Thu, Jun 20, 2013 at 10:45 AM, Jonathan Greenberg
> wrote:
>>
>> Folks:
>>
>> I apologize for the cross-posting between r-help and r-sig-hpc, but I
>> figured this question was relevant to both lists. I'm writing a
>> function to be a
Folks:
I apologize for the cross-posting between r-help and r-sig-hpc, but I
figured this question was relevant to both lists. I'm writing a
function to be applied to an input dataset that will be broken up into
chunks for memory management reasons and for parallel execution. I am
trying to dete
ll(getOption("survey.adjust.domain.lonely")))
> > options(survey.adjust.domain.lonely = FALSE)
> > if (is.null(getOption("survey.drop.replicates")))
> > options(survey.drop.replicates = TRUE)
> > if (is.null(getOption("survey.multico
R-helpers:
Say I'm developing a package that has a set of user-definable options that
I would like to be persistent across R-invocations (they are saved
someplace). Of course, I can create a little text file to be written/read,
but I was wondering if there is an "officially sanctioned" way to do
R-helpers:
I'm trying to retrieve the contents of a directory from an ftp site
(ideally, the file/folder names as a character vector):
"ftp://e4ftl01.cr.usgs.gov/MOTA/MCD12C1.005/";
# (MODIS data)
Where I get the following error via RCurl:
require("RCurl")
url <- "ftp://e4ftl01.cr.usgs.gov/MOTA/M
Roger:
Doh! Just realized I had that error in the code -- raw_data is the same as
mydata, so it should be:
mydata <- read.csv("singular.csv")
plot(mydata$predictor,mydata$response)
# A big cloud of points, nothing too weird
summary(mydata)
# No NAs:
# Xresponse predict
Quantreggers:
I'm trying to run rq() on a dataset I posted at:
https://docs.google.com/file/d/0B8Kij67bij_ASUpfcmJ4LTFEUUk/edit?usp=sharing
(it's a 1500kb csv file named "singular.csv") and am getting the following
error:
mydata <- read.csv("singular.csv")
fit_spl <- rq(raw_data[,1] ~ bs(raw_data
Yep, type.convert was exactly what I was looking for (with as.is=TRUE).
Thanks!
On Thu, Mar 21, 2013 at 1:31 PM, Prof Brian Ripley wrote:
> On 21/03/2013 18:20, Jonathan Greenberg wrote:
>
>> Given an arbitrary set of character vectors:
>>
>> myvect1 <- c("abc&
Given an arbitrary set of character vectors:
myvect1 <- c("abc","3","4")
myvect2 <- c("2","3","4")
I would like to develop a function that will convert any vectors that can
be PROPERLY converted to a numeric (myvect2) into a numeric, but leaves
character vectors which cannot be converted (myvect1
,b=20)
>
> myfun(myvariables)
> a
> b
>
>
> Hope this helps,
>
> Rui Barradas
>
> Em 01-02-2013 22:24, Jonathan Greenberg escreveu:
>
> R-helpers:
>>
>> Say I have a list:
>>
>> myvariables <- list(a=1:10,b=20)
>>
>> I
R-helpers:
Say I have a list:
myvariables <- list(a=1:10,b=20)
Is there a way to load the list components into the environment as
variables based on the component names? i.e. by applying this theoretical
function to myvariables I would have the variables a and b loaded into the
environment with
t;
> Petr
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Jonathan Greenberg
> > Sent: Tuesday, January 22, 2013 11:42 PM
> > To: r-help
> > Subject: [R] Adding a line to barchart
&
R-helpers:
I need a quick help with the following graph (I'm a lattice newbie):
require("lattice")
npp=1:5
names(npp)=c("A","B","C","D","E")
barchart(npp,origin=0,box.width=1)
# What I want to do, is add a single vertical line positioned at x = 2 that
lays over the bars (say, using a dotted line
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 th
R-helpers:
I'm sure this question has been asked and answered through the ages, but
given there are some new textbooks out there, I wanted to re-pose it. For
a course that will cover the application of R for general computing and
spatial modeling, what textbook would be best to introduce computin
The code base is a bit too complicated to paste in here, but the gist of my
question is this: given I have a function
myfunction <- function(x)
{
# Do something A
# Do something B
# Do something C
}
Say "#Do something B" returns this error:
Error in cat(list(...), file, sep, fill, labels, append)
ge:
> In writeChar(character(1), fl, nchars = 1, useBytes = TRUE) :
> writeChar: more characters requested than are in the string - will
> zero-pad
> > close(fl)
>
>
> File "Test.txt" is now 1Kb in size.
>
> Hope this helps,
>
> Rui Barradas
> Em 27-09-2012
y not larger than the
filesystem can handle). However, length appears to be restricted
by .Machine$integer.max (I'm on a 64-bit windows box):
> .Machine$integer.max
[1] 2147483647
Any suggestions on how to solve this problem for much larger file sizes?
--j
On Thu, May 3, 2012 at 10:44
R-folks. Sorry for the cross-posting, but I wanted to share a link to
a (fairly long) blog post I created which tries to take the mystery
out of getting R setup for doing high performance/parallel computing
if you have to compile R from scratch:
http://lostingeospace.blogspot.com/2012/06/r-and-hp
R-folks: Sorry for the cross-posting, but I wanted to share a link to
a (fairly long) blog post I created which tries to take the mystery
out of getting R setup for doing high performance/parallel computing
if you have to compile R from scratch:
http://lostingeospace.blogspot.com/2012/06/r-and-hp
4.38
> > # for completeness
> > sfClusterEval(close(x))
> [[1]]
> [1] TRUE
>
> [[2]]
> [1] TRUE
>
> > csummary(s)
> 5% 95%
> Min.0.04998 0.95
> 1st Qu. 0.04999 0.95
> Median 0.05001 0.95
> Mean0.05001 0.95
> 3rd Qu. 0.0
R-helpers:
What would be the absolute fastest way to make a large "empty" file (e.g.
filled with all zeroes) on disk, given a byte size and a given number
number of empty values. I know I can use writeBin, but the "object" in
this case may be far too large to store in main memory. I'm asking bec
ot;)
# simplistic calculation of eigenvalues (see caveat in
http://www.netlib.org/lapack/double/dggev.f)
if( all(Rdggev_out$ALPHAI==0) )
Rdggev_out$GENEIGENVALUES <- Rdggev_out$ALPHAR/Rdggev_out$BETA
else
Rdggev_out$GENEIGENVALUES <- complex(real=Rdggev_out$ALPHAR,
imaginary=Rdggev_out$ALPHA
Thanks all (particularly to you, Berend) -- I'll push forward with these
solutions and integrate them into my code. I did come across geigen while
rooting around in the CCA code but its not formally documented (it just
says "for internal use" or something along those lines) and as you found
out ab
My apologies:
When reviewing my initial email I made a typo -- what I needed was dggev,
not dgeev. I have confirmed that my function reproduces the scipy outputs
I mentioned in my first email. The function is part of lapack. I'm not an
R noob, I just haven't dealt with external Fortran or C cal
ut)=c("JOBVL","JOBVR","N","A","LDA","B","LDB","ALPHAR","ALPHAI",
"BETA","VL","LDVL","VR","LDVR","WORK","LWORK","INFO")
Rdggev_
VR, WORK=NA, LWORK, INFO=NA, PACKAGE="base")
LAPACK's documentation is:
http://www.netlib.org/lapack/double/dggev.f
--j
On Fri, Apr 20, 2012 at 11:58 AM, Jonathan Greenberg wrote:
> So I am a complete noob at doing this type of linking. When I write this
> statement (all the
jobvr,
const int* n, double* a, const int* lda,
double* wr, double* wi, double* vl, const int* ldvl,
double* vr, const int* ldvr,
double* work, const int* lwork, int* info);
Any ideas?
--j
On Fri, Apr 20, 2012 at 1:37 AM, Berend Hasselman wrote:
>
> On 19-04-2012, at 20:50, Jonathan Greenberg
Folks:
I'm trying to port some code from python over to R, and I'm running into a
wall finding R code that can solve a generalized eigenvalue problem
following this function model:
http://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.eig.html
Any ideas? I don't want to call python f
t
Error in function (type, msg, asError = TRUE) : RETR response: 550
Thanks for looking into this!
--j
On Mon, Apr 9, 2012 at 1:45 PM, steven mosher wrote:
> Ya I hit the same error with my code that reads directories.
> I'll try some other stuff . I think I hit this error before I wi
PM, steven mosher wrote:
> A couple of ways.
>
> using Rcurl you can use the curlOption of dirlistonly.
>
> otherwise you can read the page and parse. I've got some code around here
> to do that.
>
> Steve
>
> On Mon, Apr 9, 2012 at 11:27 AM, Jonathan Greenbe
R-helpers:
I'd like to be able to store all the file information from an ftp site
(e.g. file and foldernames) through an R command. Any ideas how to do
this? Here's an example site to use:
ftp://e4ftl01.cr.usgs.gov/MOTA/MCD15A3.005
--j
--
Jonathan A. Greenberg, PhD
Assistant Professor
Depart
R-helpers:
It looks like http://finzi.psych.upenn.edu/search.html has stopped
spidering the mailing lists -- this used to be my go-to site for
searching for R solutions. Are there any good replacements for this?
I want to be able to search both functions and mailing lists at the
same time. Cheer
R-helpers:
I'm curious what support R has for parallel writes to a binary file?
If I want to use snow to have each node write different "rows" of a
flat binary file (possibly out of sequence), are there any
tricks/issues I should be aware of?
--j
--
Jonathan A. Greenberg, PhD
Assistant Professo
:
> On 30/03/2012 12:05 PM, Jonathan Greenberg wrote:
>>
>> R-helpers:
>>
>> I'm trying to install a package from r-forge, and I'm wondering if
>> there is a way to force R to install a package, even if the package
>> "requires" a certai
R-helpers:
I'm trying to install a package from r-forge, and I'm wondering if
there is a way to force R to install a package, even if the package
"requires" a certain version of R (short of modifying the DESCRIPTION
file)? Cheers!
--j
--
Jonathan A. Greenberg, PhD
Assistant Professor
Departmen
This is probably a very noobish question, but if I want to create a
function that allows an undetermined number of, say, numeric vectors to be
fed to it, I would use:
myfunction = function(...)
{
# Do something
}
Right? If so, how do I a) count the number of vectors "fed" to the
function, and b
R-helpers:
Say I have two lists of arbitrary elements, e.g.:
list1=list(c(1:3),"R is fun!",c(3:6))
list2=list(c(10:5),c(5:3),c(13,5),"I am so confused")
I would like to produce a single new list that is composed of all
combinations of the "top level" of list1 and list2, e.g.:
listcombo=list(
This is a follow-up to a question I asked a few years back. We have a pair
of computers that share a common home directory (and therefor a common
.Renviron) with identical hardware, but very different sets of libraries
such that using a "shared" R_LIBS between two computers does not work.
They bo
list
return(x)
}
setMethod("as.yearmon",
signature(x = "SpatialPointsDataFrameListZoo"),
as.yearmon.SpatialPointsDataFrameListZoo
)
--j
2011/8/24 Uwe Ligges :
>
>
> On 24.08.2011 10:30, Jonathan Greenberg wrote:
>>
>> R-helpers:
>>
ou change the function arguments).
>
> Kevin Wright
>
> On Tue, Aug 23, 2011 at 6:55 PM, Jonathan Greenberg
> wrote:
>>
>> R-helpers:
>>
>> Are there any ways to auto-generate R-friendly (e.g. will pass a
>> compilation check) .Rd files given a set of .R
R-helpers:
I'm trying to build a package, but I'm a bit new to the whole S3/S4
methods concept. I'm trying to add a new definition of the zoo
function "as.yearmon", but I'm getting the following error when it
gets to this point during a package install:
***
R CMD INSTALL STARStools
* installing
R-helpers:
Are there any ways to auto-generate R-friendly (e.g. will pass a
compilation check) .Rd files given a set of .R code? How about GUIs
that help properly format the .Rd files? Thanks! I want a basic set
of .Rd files that I can update as I go, but as with most things my
documentation ty
Folks:
I'm putting together an R package, and I was wondering where,
specifically, I put both class definitions (via setClass) as well as
setMethod calls? Is there a particular file name I need to use?
Thanks!
--j
--
Jonathan A. Greenberg, PhD
Assistant Project Scientist
Center for Spatial Tec
R-helpers:
Is there an easy way to transfer a data frame to a list, where each
list element is a dataframe containing a single row from the original
data frame?
--j
--
Jonathan A. Greenberg, PhD
Assistant Project Scientist
Center for Spatial Technologies and Remote Sensing (CSTARS)
Department o
Answered my own question. ?split
Never mind!
--j
On Wed, Aug 10, 2011 at 7:35 PM, Jonathan Greenberg
wrote:
> R-helpers:
>
> Is there an easy way to transfer a data frame to a list, where each
> list element is a dataframe containing a single row from the original
> data
Adams
> Statistician
> U.S. Geological Survey
> Great Lakes Science Center
> 223 East Steinfest Road
> Antigo, WI 54409 USA
>
>
> From: Jonathan Greenberg To: r-help <
> r-help@r-project.org> Date: 07/28/2011 03:22 PM Subject:
> [R] Data frame to list
> Sent b
I'm hoping this is an easy problem that I'm missing something obvious. Given:
x=c(1,1,1,2,2,3,3,3)
y=c(1:length(x))
dataframe=data.frame(x,y)
I would like to convert this to a list for use with certain functions,
where each entry of the list is a subsetted dataframe based on
dataframe$x
I can d
assume since
its waiting for something to follow the / ). What's the trick with
this?
--j
On Tue, Jun 28, 2011 at 11:05 PM, Berend Hasselman wrote:
>
> Jonathan Greenberg wrote:
>>
>> The problem is that I'm trying to create a path to use with a system()
>> call,
edded Controllers) .OO#. .OO#. rocks...1k
> ---
> Sent from my phone. Please excuse my brevity.
>
> Jonathan Greenberg wrote:
>>
>> Thanks Henrik, but as the help for this function states:
>>
>> Note
>> The components are separated by / (not \) on Windows.
>>
Windows (in which case use \)
or other (in which case use /) -- there isn't a more "clever" way of
doing this?
--j
On Tue, Jun 28, 2011 at 7:10 PM, Henrik Bengtsson wrote:
> See file.path().
>
> /Henrik
>
> On Tue, Jun 28, 2011 at 6:59 PM, Jonathan Greenberg
> wro
Hopefully this is a pretty easy fix -- I need to have R query the path
separator for some code I'm trying to write (it involves using a
system() call) -- the call requires a path and a wildcard, e.g.:
command="mycommand /path/to/*.files" in the case of unix or,
command="mycommand.exe C:\\path\\to\
R-helpers:
If I want to pass a character name of a function TO a function, and then
have that function executed, how would I do this? I want
an arbitrary version of the following, where any function can be used (e.g.
I don't want the if-then statement here):
apply_some_function <- function(data,
Oops, small typo, should be:
barchart_test_heights=sin(c(1:100))
barchart_test_bins=c(c(1:50),c(1:50))
groups=c(rep(1,50),rep(2,50))
# Wish below didn't have spaces!
barchart(barchart_test_bins~barchart_test_heights,groups=groups)
On Wed, Aug 25, 2010 at 4:46 PM, Jonathan Greenberg
wrote
another function if that makes this easier.
On Wed, Aug 25, 2010 at 1:55 PM, David Winsemius wrote:
>
> On Aug 24, 2010, at 10:20 PM, Jonathan Greenberg wrote:
>
>> Rhelpers:
>>
>> I'm trying to make a barchart of a 2-group dataset
>> (barchart(x~y,data=data,gr
Rhelpers:
I'm trying to make a barchart of a 2-group dataset
(barchart(x~y,data=data,groups=z,horizontal=FALSE)). My problem is
that I can't, for the life of me, seem to get rid of the inter-bar
space -- box.ratio set to 1 doesn't do much. Any ideas? I'd
ideally want zero space between the
Rhelpers:
How do I get R to evaluate a string, as if it was an R statement, e.g.:
a=3
b=2
operator="-"
statement_string=paste(a,operator,b,sep="")
--j
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the
Pardon the barrage of time series related questions, but another issue
I'm trying to solve is how to determine a sequence of dates a la
seq.dates() except going BACKWARDS in time, e.g. if seq.dates()
allowed for the "to" variables to be set alone, rather than the from=.
Ultimately, I'd like to hav
Folks:
I have two sets of dates, and one set of data:
***
require("chron")
require("zoo")
reference_dates=seq.dates("01/01/92", "12/31/92", by = "months")
data_dates=seq.dates("01/15/91", "12/15/93", by = "months")
data=1:length(data_dates)
reference_zoo=zoo(order.by=reference_dates)
data_zoo=z
at 1:05 PM, Jonathan Greenberg
wrote:
> I'm a bit confused about how exists() work within a function -- I want
> to test for unassigned variables, but I'm doing tests in the main
> environment to figure out the function, so the variables DO exist in
> the parent environment
I'm a bit confused about how exists() work within a function -- I want
to test for unassigned variables, but I'm doing tests in the main
environment to figure out the function, so the variables DO exist in
the parent environment of a function call.
Why does:
myfunction <- function(variable_outside
I'm trying to use RSQLite statement to cycle through a large database
in "chunks" via the fetch(...,n=2). As far as I can tell,
however, it keeps re-fetching the same beginning set of rows -- any
ideas what might be wrong with the following code? The select
statement is pulling from multiple
Folks:
Say I have a matrix:
test=matrix(c(1,2,3),nrow=10,ncol=3)
I would like to have an output character vector where each line is
row's values delimited by commas, e.g.:
"1,2,3"
"2,3,1"
"3,1,2"
...
"1,2,3"
What is the fastest way of doing this? I can paste() row-by-row but
this seems an ine
gt; my_database <- cbind(
> expand.grid(id_a = id_a, id_b = id_b),
> mat = as.vector(my_matrix)
> )
>
>
> -Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Jonathan Greenberg
> Sent: Tuesday, 8 June 2
I have a matrix of, say, M and N dimensions:
my_matrix=matrix(c(1:60),nrow=6,ncol=10)
I have two "id" vectors corresponding to the rows and columns, e.g.:
id_m=seq(10,60,by=10)
id_n=seq(100,1000,by=100)
I would like to create a "proper" database (let's say a data.frame for
this example -- i'm g
100%). ATLAS is
> multithreaded and (unless you configured it otherwise) it will use all
> available processors, so if you have a 4-core machine, you will see
> CPU usage of nearly 400%. Note though that this will not discriminate
> ATLAS from other multi-threaded BLASes.
>
> HTH
Rhelpers:
I recently installed the 64-bit version of R on my Debian system, and
afterwards was asked if it was compiled using ATLAS. Is there a way
to test to see if R is using ATLAS?
--j
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Rhelpers:
I'm curious what the appropriate analysis to use for testing the
hypothesis that two histograms are statistically different from one
another? Thanks!
--j
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PLEAS
Rhelpers:
(Thanks for the previous help with getting a "where" statement
working). Now on to my next question -- our database guru has asked
me to run ".schema" on an sqlite database, and I was wondering if
there is an equivalent in R to do this? Thanks!
--j
___
Rhelpers:
I'd like to modify this RSQLite statement:
rs_stations<-dbSendQuery(con_stations, "select * from stations")
so that stations is actually an R variable, e.g.:
stations=c("stationA","stationB")
How would I modify the above statement to query from stations[[1]]
(aka "stationA")?
--j
_
I'm having a mixed experience with using R and UNIX's screen function
-- sometimes when I close a connection that used screen, the R process
is killed (which, in theory, it shouldn't be -- it should be running
in the background). Does anyone have any ideas on how well (or not) R
behaves with scree
Rhelpers:
Having a problem solving this. I have an xyplot call that looks
like this:
print(xyplot(temp_species_EAM_Pred_Pop$x+temp_species_NULL_Pred_Pop$x~temp_species_EAM_Pred_Pop$Action,main=current_species,
xlab="Action",ylab="Predicted Pop",
I'm hoping to get some "best practice" feedback for constructing a
function call which takes an undefined set of DIFFERENT length vectors
-- e.g. say we have two lists:
list1=c(1:10)
list2=c(2:4)
lists = data.frame(list1,list2) coerces those two to be the same length
(recycling list2 to fill
I'm trying to figure out the best way to do a scatterplot using the
following data as an example:
plothelp_x=1:10
plothelp_A1=sin(plothelp_x)
plothelp_A2=tan(plothelp_x)
plothelp_B=c("A","B","C","A","B","C","A","B","C","A")
(note that all 4 of these vectors have 10 entries each)
What I would l
I got that same email from "Steve Blum":
Hi folks,
Which is the best statistical package out there. I am out of work and looking to get the best buck for my money.
Tx - ed
--j
Max Kuhn wrote:
... and this one I received this morning:
Hi folks, Which is the best statistical package
R-helpers:
I'm working on an r-package that I want to make as easy-to-use as
possible for a novice R-user, which includes automatically installing
required packages. I, myself, am a novice R-packager, so the solution
I came up with was to embed:
print("Loading required packages...")
if
R-helpers:
I have a data frame containing 4 factor variables (let's say A,B,C,
and D) and 1 numerical variable (N). I would like to produce a
cross-tabulated data frame in which A,B,C are individual columns, each
factor of D is its own column, and the field is calculated as a given
functi
s!
--j
William Dunlap wrote:
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Jonathan Greenberg
Sent: Thursday, October 22, 2009 7:35 PM
To: r-help
Subject: [R] splitting a vector of strings...
Quick question -- if I have a vector of s
Quick question -- if I have a vector of strings that I'd like to split
into two new vectors based on a substring that is inside of each string,
what is the most efficient way to do this? The substring that I want to
split on is multiple characters, if that matters, and it is contained in
every
(apologies for the cross-posting, and for this being a more general
stats question rather than a specific-to-R one. I assure you I will be
doing the actual analysis in R :)
I am trying to determine the distribution and variance for a classic
stochastic (transition) matrix problem such that:
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