Dear List,
I’d appreciate any guidance on the following.
I’m using a mixed effects logistic regression model, to allow coefficients to
vary by a group variable. However, my case is not typical in the sense that I
need to specify a different set of covariates for each level of the group
varia
> John Fox, Professor Emeritus
> McMaster University
> Hamilton, Ontario, Canada
> Web: socialsciences.mcmaster.ca/jfox/
>
>
>
>> -Original Message-
>> From: Axel Urbiz
>> Sent: Friday, May 15, 2020 5:33 PM
>> To: Fox, Jo
Hello John and others,
I’d appreciate your help as I’m trying to plot the effect of predictor “Days”
on Reaction by Subject. I’m only getting one plot in the example below.
### Start example
library(lme4)
library(splines)
data("sleepstudy")
fm1 <- lmer(Reaction ~ ns(Days, 3) + (ns(Days, 3) |
Hello,
Is there a less verbose approach to obtaining the PC_i variables inside the
mutate?
library(tidyverse)
sim_data <- data.frame(borrower_id = sort(rep(1:10, 20)),
quarter = rep(1:20, 10),
pd = runif(length(rep(1:20, 10 # conditional probs
Dear List,
I need to fit a GAM to a large dataset (`mgcv::bam` does this), but
ensuring that some covariates have a monotonic relation with the response.
`mgcv::mono.con` with `mgcv::pcls` seem to do this, but only for
`mgcv::gam` (not mgcv::bam)?
I'd really appreciate any pointers!
Regards,
Ax
Dear Experts,
I’m working with spdep::skater to fit clusters to spatial data subject to
contiguity constraints. This function fits clusters by edge removal from
Minimum Spanning Trees.
In this context, I’d appreciate any pointers on how to tune the number of
clusters. What is a sensible crite
//
> ///
>
>
> Van 14 tot en met 19 december 2017 verhuizen we uit onze vestiging in
> Brussel naar het Herman Teirlinckgebouw op de site Thurn & Taxis.
> Vanaf dan ben je welkom op het nieuwe adres: Havenlaan 88 bus 73, 1000
> Bru
Dear List,
I'm trying to add a function that calls a Shiny App in my R package. The
issue is that within my function, I'm creating objects that I'd like to
pass to the app. For instance, from the example below, I'm getting
"Error: object
'xs' not found". How can I pass "xs" explicitly to shinyApp(
Dear List,
I have a wrapper function that creates a Shiny App, as illustrated below.
I'd like to include the function myApp() inside a package. I'd appreciate
your guidance here, as I could not find good instructions on this online.
myApp <- function(x) {
require(shiny)
shinyApp(
ui = f
Dear list,
For a reason it would take me long to explain, I need to do something along
the lines of what's shown below -- i.e., create an object from
dplyr::summarise, and then evaluate it on a data frame.
I know I could directly do:
df %>% dplyr::summarise(x1_mean = mean(x1))
but this is not
lt;- factor(df$nv, levels = df$nv)
ggplot(df, aes(x = nv , y = v, fill = f)) +
geom_bar(position="dodge", stat = "identity")
El 14/04/17 a las 10:08, Axel Urbiz escribi�:
Hi,
I need to bars to display in order based on the values of "v" within each
group "g&
e(g, desc(v))
> df$nv <- with(df, factor(paste(g,f)))
> df$nv <- factor(df$nv, levels = df$nv)
>
> ggplot(df, aes(x = nv , y = v, fill = f)) +
> geom_bar(position="dodge", stat = "identity")
>
>
> El 14/04/17 a las 10:08, Axel Urbiz escribi�:
Hi,
I need to bars to display in order based on the values of "v" within each
group "g". Is this possible?
library(ggplot2)
set.seed(1)
df <- expand.grid(g = 1:4, f = factor(c("a", "b", "c")))
df <- df[-1, ] # some factors are not present in certain groups
df$v <- runif(nrow(df))
ggplot(df, aes(
Dear Group,
I'd like to combine many grid::grid.raster plots into a single layout.
Here's my attempt, which does not work (i.e., does not combine the 9 images
into a single plot layout).
require(grid)
random_image <- function() {
r <- matrix(sample(1:255, 32 * 32, replace = TRUE), nrow = 32,
Hello,
I work for a large organization who is looking to productionize (deploy)
models built in R on the cloud. Currently, we were looking into IBM
Bluemix, but I’ve been told only Python is supported for model deployment.
I’d appreciate if anyone can point me to the right direction here in terms
Hi All,
Just started to experiment with "sparklyr" and already loving it.
I'm trying to build an extension by constructing an R wrapper to Spark's
Gaussian Mixtures. My attempt is below, and so is the error message. Not
sure if this is possible to do, and if so, what is wrong with my code.
Any h
Dear All,
I'd like to change the options("contrasts") within a function, such that
"identity" contrasts
are created for unordered factors. I'm following the idea shown below,
which works fine.
However, when I include these functions in a package (with `contr` being
exported, but
`contr_identity`
Hi All,
I didn't have much success through my Google search in finding any active
R-related projects to create a wrapper around TensorFlow in R. Anyone know
if this is on the go?
Thanks,
Axel.
[[alternative HTML version deleted]]
__
R-help@r-p
Hello,
As decision trees require sorting the variable used for splitting a given
node, I'm trying to avoid having this recurrent sorting by only sorting all
numeric variable first (and only once).
My attempt in doing this is shown in "Solution 2" below, but although I get
the desired result I thi
Hello,
I apologize my prior email was sent in html.
It is not very clear to me from the model.matrix documentation, why simply
changing the order of terms in the formula may give a different design matrix.
Please note I’m purposely not including main effects in the model formulae.
set.seed(1)
5
> x -0.001263650 0.01160511
>
> You may have a reason to use glm.fit in preference to glm, but I'm not sure
> why you'd want to do that.
>
> I hope this helps,
> John
>
> ---
> John Fox, Professor
> McMaster University
> Hamilton,
Hello,
Is it possible to extract or compute the standard errors of model coefficients
from a glm.fit object? This can be easily done from a fitted glm object, but I
need glm.fit.
set.seed(1)
n <- 100
x <- rnorm(n)
y1 <- rnorm(n)
y2 <- rbinom(n, 1, .25)
M1 <- glm (y1 ~ x)
M2 <- glm.fit(x = x,
Hello,
I would like to return a factor from vapply, which looks it cannot be done
directly since a factor is typeof() numeric. So I’m not sure if the solution
below is the standard approach to handle this. My concern is that the factor
levels are mixed up in the results (as shown in the last l
Hello,
I would like to sort the df below, such that it sorts y1 in decreasing order
for tt == 1 and in increasing order for
tt == 0. My solution is below, but curious if there might be something better
(meaning faster in this case).
Actually, if instead if implicitly sorting, I could add a va
.. Go
>>> Live...
>>>> DCN:Basics: ##.#. ##.#. Live
>>> Go...
>>>> Live: OO#.. Dead: OO#..
>>> Playing
>>>> Research Engineer (Solar/BatteriesO.O#. #.O#. with
>>>> /Software/Embedded Controllers) .OO#. .OO#.
&
Hello,
Is there a way to avoid the warning below in dplyr. I’m performing an operation
within groups, and the warning says that the factors created from each group do
not have the same levels, and so it coerces the factor to character. I’m using
this inside a package I’m developing. I’d appre
Z NA
> > levels(.Last.value$fv)
> [1] "X"
>
>
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com <http://tibco.com/>
> On Mon, Nov 2, 2015 at 5:38 PM, Axel Urbiz <mailto:axel.ur...@gmail.com>> wrote:
> Actually, the results are
", df, dots)
> However it is clear that the fault is in your function, which is expecting a
> data.frame x with a column called pred but gets pred itself. Change x to
> xpred
> in the argument list and x$pred to xpred in the body of the function.
>
> You will run into more proble
Sorry, this is *related* to a recent post, but not the same. I'd
appreciate your help in getting the same results with the two methods below
(the first using plyr and the second using dplyr. The former works, but not
the latter.)
### Sample data
set.seed(4)
df <- data.frame(pred = rnorm(100), y
Sorry, this is *related* to a recent post, but not the same. I'd appreciate
your help in getting the same results with the two methods below (the first
using plyr and the second using dplyr. The former works, but not the
latter.)
### Sample data
set.seed(4)df <- data.frame(pred = rnorm(100), y =
(Solar/BatteriesO.O#. #.O#. with
> /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
> ---
> Sent from my phone. Please excuse my brevity.
>
> On October 29, 2015 4:55:
Hello,
Sorry, resending this question as the prior was not sent properly.
I’m using the plyr package below to add a variable named "bin" to my
original data frame "df" with the user-defined function "create_bins". I'd
like to get similar results using dplyr instead, but failing to do so.
set.see
Hello,
I’m using the plyr package to add a variable named "bin" to my original
data frame "df" with a user-defined function "create_bins". I'd like to get
similar results using dplyr instead, but failing to do so. set.seed(4)df <-
data.frame(pred = rnorm(100), models = gl(2, 50, 100, labels = c("m
Hello,
I have a variable named 'x' defined inside a function, which may conflict
with a variable name supplied in the argument to the function. What is the
best practice to avoid this conflict?
foo <- function(df) {
x <- df[, 1, drop = FALSE]
dfOut <- data.frame(df, x)
dfOut
}
Data <- da
Hello,
I've been experimenting with the H2O package, which seems to be a very
interesting and promising project.
I'm getting a few error messages through using "h2o.deeplearning" (which I
guess it must be something I'm doing wrong). Here is a reproducible example
of errors using the "n_folds" arg
le reason 'No
such file or directory'
>
On Tue, Jun 16, 2015 at 10:18 AM, Uwe Ligges <
lig...@statistik.tu-dortmund.de> wrote:
>
>
> On 16.06.2015 15:16, Axel Urbiz wrote:
>
>> Thanks Uwe. Actually, the problem persists in R-3.2.1.
>>
>> If
Thanks Uwe. Actually, the problem persists in R-3.2.1.
If it helps, the .zip file is here:
http://win-builder.r-project.org/yC8eUu09w3Ui/
Thank you,
Axel.
On Mon, Jun 15, 2015 at 5:41 PM, Uwe Ligges wrote:
>
>
> On 15.06.2015 22:32, Axel Urbiz wrote:
>
>> Hello,
>>
Hello,
I've built a windows binary package from my Mac using the help from this
site: http://win-builder.r-project.org
As expected, I got back the file "mypackage.zip". Also, the logs show no
errors.
Now, when I try to install on windows using the GUI "install package(s)
from local zip files", I
for an answer does not
> ensure that a reasonable answer can be extracted from a given body of data.
> ~ John Tukey
>
> 2015-04-23 12:06 GMT+02:00 Axel Urbiz :
>
>> Hello,
>>
>> I'm getting a warning message from the reproducible example below.
>>
>>
Hello,
I'm getting a warning message from the reproducible example below.
Why would geom_errorbar() remove 2 cases in this case? Both upper and lower
limits of the error bar contain var1 and are within the axis limits.
df <- data.frame(var1 = seq(0, 1, 0.1), var2 = seq(0, 1, 0.1))
df$ll <- ifel
Hello,
My apologies if this is not the right place to post this question.
I need to get R installed on a Linux Red Hat server. I have very limited
exposure to R and would appreciate some basic guidance if you could point
me to resources describing the process, requirements, etc.
Thank you in adv
Hello,
I'm building a package on Mac OS. The build/check/install goes all ok.
Also, the package gets loaded properly with library("my_package").
However, when I call the help file for a given function in the package --
i.e., "?my_function", I get the following error:
"Error in gzfile(file, "rb")
Hi there,
I need to create a Rubik cube plot in R, except that I don't need the face
colours (all faces with the same colour is fine).
I'd appreciate your guidance in terms of what graphic tool would be best
for this purpose.
Best,
Axel.
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___
Hello,
The function searchTwitter() with the arguments supplied as below would
give me a different number of results on different days I run this code.
Maybe it is my lack of understanding about what the date arguments are
supposed to do in this function, but I would think I should be getting the
be wrong.)
>>
>> (ii) With censored data, this may be a bad idea. For instance, when the
>> largest observation is a censoring time, you may badly underestimate the
>> mean. Your best hope is to be able to estimate a conditional mean of the
>> type E(T | T < x).
s) ~ age + ph.ecog, lung)
pred <- survfit(fit, newdata=lung)
head(pred)
Thanks again,
Axel.
On Sat, Jul 5, 2014 at 1:54 PM, David Winsemius
wrote:
>
> On Jul 5, 2014, at 5:28 AM, Axel Urbiz wrote:
>
> Dear R users,
>>
>> My apologies for the simple question, as I&
Dear R users,
My apologies for the simple question, as I'm starting to learn the concepts
behind the Cox PH model. I was just experimenting with the survival and rms
packages for this.
I'm simply trying to obtain the expected survival time (as opposed to the
probability of survival at a given tim
Hello,
I find situations where some segments of the code are displayed in the
output but not entirely highlighted. I guess there should be a way to fix
this, but I could't find it in the options.
Here's an example with knitr/LaTex.
\documentclass{article}
\begin{document}
\section{Example 1}
e more than just a few code chunks, you should
> do your work in master.Rnw and produce master.tex from that using
> either sweave() or knitr()
>
> -M
>
>
> On 4/4/2014 7:10 PM, Axel Urbiz wrote:
>
>> Hi,
>>
>> I'm writing a thesis in Latex (say
Hi,
I'm writing a thesis in Latex (say master.tex). I'd like to include R
code/results from an .Rwd file. I've naively tried:
1) Add ONLY the code below in Rcode.Rnw file:
\section{Exploratory data analysis}
<>=
library(ggplot2)
data(diamonds)
head(diamonds)
@
2) Then, in the master.tex file ad
.
On Mon, Dec 30, 2013 at 7:51 PM, Duncan Murdoch wrote:
> On 13-12-30 1:24 PM, Axel Urbiz wrote:
>
>> Dear users,
>>
>> My package {foo} depends on a function "miscFUN" which is on package
>> {foo_depend}. This last package also depends on other packages, s
Dear users,
My package {foo} depends on a function "miscFUN" which is on package
{foo_depend}. This last package also depends on other packages, say {A, B,
C}, but miscFUN is not dependent on A, B, C (only on foo_depend).
In my package {foo}, is there a way to only have it depend on the function
Hello,
Although the example below doesn't necessary make any sense from a
statistical perspective, it is just a close enough example to hopefully get
your help upon.
For my purpose, I'm particularly interested to know if there is a way to
replace the results from the vapply() function below by a
Dear List,
I'm interested in performing a permutation test on the interaction between
a binary treatment indicator and a covariate (either continuous or
categorical). I'm interested in the p-value of the interaction effect from
a permutation test, and I'm using the coin package for that purpose.
Dear List,
I'm running simulations using the glmnet package. I need to use an
'automated' method for model selection at each iteration of the simulation.
The cv.glmnet function in the same package is handy for that purpose.
However, in my simulation I have p >> N, and in some cases the selected
mo
Dear List,
I'm trying to solve this simple optimization problem in R. The parameters
are the exponents to the matrix mm. The constraints specify that each row
of the parameter matrix should sum to 1 and their product to 0. I don't
understand why the constraints are not satisfied at the solution. I
Dear List,
I'm new in R. I'm trying to solve a simple constrained optimization
problem.
Essentially, let's say I have a matrix as in the object 'mm' inside the
function below. My objective function should have a matrix of parameters,
one parameter for each element 'mm' (4 in this case). The prob
Dear List,
I run the code below on my Mac and works fine. On Win 7 64-bit, Im getting
the error message at the bottom.In both cases, Im using R 2.15.2.
Any clue?
v1 = c(43.6, 43.8, 44.2); # Latitude for added points
v2 = c(-80, -79.5, -79.0); # Longitude for added points
v
Dear List,
I couldn't find any package that performs the "weight of evidence" of
predictors (a transformation usually performed in credit scoring
applications). Is there any that you know?
Thanks,
Axel.
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__
matrix[,1] (avoiding sorting again)
b.dframe[, var1][match(sort_matrix[, var1], b.ind)] #this does not work,
and if it did would be slow
Thanks again,
Axel.
On Fri, May 18, 2012 at 9:50 AM, David Winsemius wrote:
>
> On May 18, 2012, at 6:37 AM, Axel Urbiz wrote:
>
> Would I be able
respect to potentially any variable.
Thanks again,
Axel.
On Thu, May 17, 2012 at 1:43 PM, Petr Savicky wrote:
> On Thu, May 17, 2012 at 06:45:52AM -0400, Axel Urbiz wrote:
> > Dear List,
> >
> > Is there a way I can sort a sample based on a sort index constructed from
> &
Dear List,
Is there a way I can sort a sample based on a sort index constructed from
the data from which the sample is taken? Basically, I need to take 'many'
samples from the same source data and sort them. This can be very time
consuming for long vectors. Is there any way I can sort the data onl
Dear List,
How can I get a logical vector as shown by a.ord.last below (i.e., it is
FALSE whenever there are subsequent equal values of an ordered vector and
FALSE otherwise)?
a <- c(1,1,2,1,3,4,3,5,6)
a.ord <- a[order(a)]
a.ord
a.ord.last <- c(F, F, T, T, F, T, T, T, T)
Thanks for any help
Dear List,
I built a package under both Mac and Win 7 (both on R 2.12.0) . One of the
functions in the package is set up to print a status message using the code
below:
if (verbose)
if ((i %% 10) == 0 && i < ntree) message( "", i, "out of", ntree,
"trees so far...")
This works perfectly o
Dear List,
In building a package on a Mac, all the steps performed (build, check,
install) seem to be working fine (no warning messages or errors). The
manual for the package is created and everything looks good except for the
fact that the header of the document is not showing the info on the
DES
I'll appreciate your help on this. I have values stored in a list as in
"mylist" below. I need to sum the values over all elements of the list
aggregated by the names of the matrices.
mylist <- list(matrix(c(0.2, 0.4), 1, 2, dimnames = list(NULL, c("1",
"2"))),
matrix(c(0.1, 0.5
Dear List,
I'll appreciate your help on this. I'm trying to create a variable as in
"cumsum_y.cond1" below, which should compute the cumulative sum of "y"
conditional on the value of cond==1.
set.seed(1)
d <- data.frame(y= sample(c(0,1), 10, replace= T),
cond= sample(c(0,1), 10, r
elp-boun...@r-project.org] On Behalf Of Peter Langfelder
> > Sent: Thursday, December 01, 2011 12:33 AM
> > To: Axel Urbiz
> > Cc: R-help@r-project.org
> > Subject: Re: [R] Random Forests in R
> >
> > On Wed, Nov 30, 2011 at 7:48 PM, Axel Urbiz
> >
I understand the original implementation of Random Forest was done in
Fortran code. In the source files of the R implementation there is a note
"C wrapper for random forests: get input from R and drive the Fortran
routines.". I'm far from an expert on this...does that mean that the
implementation
Dear List,
Id like to modify the R rpart package source code to add a new split
criterion. Im familiar with R, but not at all with C or C++.
I understand C and C++ are quite different, and I dont have the time to
learn both, so my questions are (i) which one should I learn for the
specific tas
Hi,
My apologies for asking this question, but could not find the answer
elsewhere. I understand the glmnet package uses Fortran code. For example,
the lognet.R file includes the lines of code shown below. But how can I see
the Fortran code that is being referenced in the code below? Is that
provi
Dear List,
When I try to install tweetR on Ubuntu, I get the error message below. It is
a problem with the dependency RCurl. This package is not available for
Windows on CRAN, but I would assume that I should have no problem with
linux.
Any help is much appreciated.
R version: 2.12.1
Platform: x
Hi - How can I 'manually' reproduce the results in 'pred1' below? My attempt
is pred_manual, but is not correct. Any help is much appreciated.
library(splines)
set.seed(12345)
y <- rgamma(1000, shape =0.5)
age <- rnorm(1000, 45, 10)
glm1 <- glm(y ~ ns(age, 4), family=Gamma(link=log))
dd <- data.fr
Dear List,
I'm fairly new in R. I'd like to see how glm() uses the argument "family" in
fitting a model. Specifically, I'd like to see how a glm with a gamma family
is fitted.
Thanks for any help,
Axel.
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__
x27;m similarly
interested in learning the 'know how' from your first question.
Thanks for this,
Axel.
On Sat, Jul 30, 2011 at 7:46 PM, Duncan Murdoch wrote:
> On 11-07-30 5:55 PM, Axel Urbiz wrote:
>
>> Dear List,
>>
>> I'd like to extend the glmnet package to a
Dear List,
I'd like to extend the glmnet package to account for one additional
distribution: the Tweedie (compound of Poisson and Gamma). Could you please
point me on how should I do this?
Thanks for any help,
Axel.
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__
Hi,
I'd like to read a shapefile into a Map object. This is exactly what
read.shape{maptools} is suppoed to do, according to the documentation I
found in the link below.
However, this doesn't seem to work
library(maptools)x <- read.shape(system.file("shapes/sids.shp",
package="maptools")[1])Err
Dear list,
I'd like to use the function smooth.map{maps} to smooth out aggregated
spatial data. The first argument to this function must be a map object.
I have a shape file which I read with readShapeSpatial{maptools} and I got
an object of class "SpatialPolygonsDataFrame".
Is it possible to cr
is it possible to add dash lines to tables or matrices when they are
printed? An example of what I'm looking for is this:
library(Design)
y <- sample(c(0,1),100, replace = TRUE)
x <- rnorm(100)
summary(y ~ x)
Thanks,
Axel.
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___
Dear experts:
Is it possible to create a new function based
on stats:::model.matrix.default so that an alternative factor coding is used
when the function is called instead of the default factor coding?
Basically, I'd like to reproduce the results in 'mat' below, without having
to explicitly spec
Dear list,
Is it possible to specify a contrast in options() that would create an
identity matrix for each factor in the model matrix?
For example, for each factor in 'dd' below, I can create an identity matrix
using contrasts = FALSE. Is it possible to set this in options(), so when I
create a mo
Hi All,
I'd like to build a package for the community that replicates the output
produced by SAS "proc varclus". According to the SAS documentation, the
first few steps are:
1. Find the first two principal components.
2. Perform an orthoblique rotation (quartimax rotation) on eigenvectors.
3. Ass
Dear R users,
Let's say I have a list with components being 'm' matrices (as exemplified
in the "mylist" object below). Now, I'd like to subset this list based on an
index vector, which will partition each matrix 'm' in 2 sub-matrices. My
questions are:
1. Is there an elegant way to have the resul
Dear List,
Let's say I have a list whose components are 2 matrices (as exemplified in
the "mylist" object below). I'd like to create a list with components being
4 matrices based on an logical index vector. is there a way to simplify what
I'm doing to obtain the results in "mylist2"? I'd like some
Dear R list,
I'm trying to create an object of class "owin" (observation window) in the
package spatstat from GIS mapping data. Here's an example of my problem.
Everything
goes well until the last line of code. I get the error message shown at the
bottom:
library(spatstat)
library(sp)
library(mapt
Dear List,
This is an embarrassing question, but I can seem to make this work
How do I
change the font size on the xlab and on the numbers shown in the x-axis on
the time series plot below. The arguments cex.lab and cex.axis do not seem
to be 'passing' to the plot function.
plot(ts(rnorm(100), s
Dear List,
The gbm package on Win 7 produces different results for the
relative importance of input variables in R 32-bit relative to R 64-bit. Any
idea why? Any idea which one is correct?
Based on this example, it looks like the relative importance of 2 perfectly
correlated predictors is "dilute
Dear users,
I'll appreciate your help with this (hopefully) simple problem.
I have a model object which was fitted to inputs X1, X2, X3. Now, I'd like
to use this object to make predictions on a new data set where only X1 and
X2 are available (just use the estimated coefficients for these variabl
Dear List,
I think I'm going crazy here...can anyone explain why do I get the same
predictions in train and test data sets below when the second has a missing
input?
y <- rnorm(1000)
x1 <- rnorm(1000)
x2 <- rnorm(1000)
train <- data.frame(y,x1,x2)
test <- data.frame(x1)
myfit <- glm(y ~ x1 + x2,
Hi,
Is it possible to include factor variables as model inputs using this
package? I'm quite sure it is not possible, but would like to double check.
Thanks,
Axel.
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R-help@r-project.org mailing list
http
Dear users,
My apologies for the simple question. I'd like to create a function where
the number of arguments is as big as the size of my data set. Supose I have
n observations in my data, how can I write a function like
fun <- function (x1,x2,,xn) {x1*x2*...*xn}
Thanks in advance for y
Hi,
I'm looking to move from Windows into a 64-bit Linux environment. Which is
the best Linux Flavor to use within R? To install R on this environment, do
I need to do any compiling?
Thanks all!
Axel.
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R
Dear R users,
I know this issue came up in the list several times. Im currently running
R on 32-bit on Windows and due to memory limitation problems would like to
move to a 64-bit environment. Im exploring my options and would appreciate
your expertise:
1) Windows 64-bit: Prof. Brian Rip
Dear R users,
I'm new in R and couldn't find the solution to this in the postings. I want
to be able to use the "leaps" package to perform an "exhaustive" regression.
Most of my variables are categorical with many levels. I'd like to restrict
the candidate subsets to either all levels included or
Dear R users,
I'm new in R and couldn't find the solution to this in the postings. I want
to be able to use the "leaps" package to perform an "exhaustive" regression.
Most of my variables are categorical with many levels. I'd like to restrict
the candidate subsets to either all levels included or
Dear R users,
I'm new in Text Mining applications and just started to look into the tm
package. If anyone of you has experience with this package, I'll appreciate
if you could share your thoughts around it. Also what's the best way to
store large amounts of text data on limited RAM when using this
Dear R users,
Is there any package that I could use to perform Penalized Logistic
Regression (i.e. Ridge/Lasso regularization) including also an offset term
in the model (i.e. a variable with a known coefficient of 1 rather than an
estimated coefficient)? I couldn't find any package that would all
Hi All,
My dependent variable is a ratio that takes a value of 0 (zero) for 95% of
the observations and positive non-integer values for the other 5%. What
model would be appropriate? I'm thinking of fitting a GLM with a Poisson ~.
Now, becuase it takes non-integer values, using the glm function wi
Hi,
Id like to fit one GLM model for each possible combination of inputs (i.e.
exhaustive search). The package leaps can help me to generate all possible
variable subsets, but Ill appreciate your guidance as of how to generate
one model for each of those possible subsets. Im new in R! Thanks i
Dear R community,
Im new in R (coming from SAS). If possible, Id like to know your thoughts
regarding the following.
Im working on a regression problem, where my dependent variable is a ratio
of two variables (i.e. dep.var=A/B). The variable A takes a value of zero
for the vast majority of obs
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