similar to: Creating Dummy Variables in R

Hi, Please consider the example below. How can I manage to overlay the points the way I want in the second case? Thanks, Joh library(ggplot2) # Modify data to match "real" case myDiamonds <- diamonds myDiamonds[["clarity"]] <- as.character(myDiamonds[["clarity"]]) myDiamonds[myDiamonds[["clarity"]]=="I1","clarity"] <- 1

Good day, Sometimes, sparse.model.matrix outputs a dgCMatrix which has column names consisting of factor levels that were not in the original dataset. The first factor appears to be correctly transformed, but the following factors don't. For example: diamonds <- as.data.frame(ggplot2::diamonds) > colnames(sparse.model.matrix(~ . -1, diamonds)) [1] "carat"

Hi everyone, After reading the external file into R it will become a R dataset. Now my querry is i want to dispaly only character variables from that dataset. please help me in this aspect. if possible send me the code. it will be very helpful for us. Thank you in Advance. -- View this message in context:

Hello there, could you please help to modify gpar() properties of a cell inside tableGrob() output. In the following example I want to have different color for one out of 4 cells require(gridExtra) z<-matrix(1:4,2,2) grid.draw(tableGrob(z)) The only way I found for now how to do it is to do something like this downViewport(current.vpTree()$children[[1]]$children[[6]]$name)

color and clarity are ordered factors, so sparse.model.matrix is generating orthogonal-polynomial contrasts (see ?contr.poly). This is by design ... what are you trying to do? Are you interested in fac2sparse? On 18-02-07 11:00 PM, Dario Strbenac wrote: > Good day, > > Sometimes, sparse.model.matrix outputs a dgCMatrix which has column names consisting of factor levels that were not

hi, is it possible to convert latex code to pdf in R (like a latex-program would do it)? Is there a package that comes with this capabilities? My problem is that I want to generate tables automatically - and I can't use a latex editor at that computer ... Besides latex ... are there good ways to generate tables in R? thanks for any suggestions!

Things consider problems with sftp software - sftp manually first time to accept the fingerprint and anytime software is updated on host. - no ascii mode only binary - no verbose or indication of bytes transfered (you would do an ls after sftp is done) - no mput or mget (this may be a show stopper) but could script could generate itself with all the filenames takes coding. Kenneth

[sorry, but this is a re-post - I forgot to set the subject line the first time around] Hello, I would like to access an Oracle database running on Solaris from R on my linux desktop. I have had a look at the R Data Import/Export manual, and downloaded RODBC and unixODBC, but I am still quite confused about how to proceed. It appears to me that I still need to get an Oracle ODBC driver, and

> > I have started an implementation in the kh branch, so that libcurl > could > be used for listener auth, so can shell commands, but neither have been > used in anger yet. Ooo. :) Having just had a look at auth_curl.c in kh, that would probably do what we want even better. Is it possible (or would it *be* possible) to make <mount> sections take wildcards for

Hello, I am wondering if there is an easy way to combine loess() with glm() to produce a locally fitted generalised regression. I have a data set of about 5,000 observations and 5 explanatory variables, with a binary outcome. One of the explanatory variables (lets call it X) is much more predictive than the others. A single glm() regression over the entire data set produces rather poor results,

I'm working on a package to produce graphic displays of 2- and 3-way tables and need some help/advice on how to simplify the specification of a complex argument that gives the drawing details for each cell of the table. Prototypes of two functions, 'tableplot' and 'cellgram' are given below. The essential idea is that for a given table ('values'), the cells can be be

Hello, I have installed the ROracle and DBI packages, and I want to access an Oracle database that is not on the same machine as the one I am running R on. I can access the database remotely with perl DBI and Java JDBC. Does anyone know if this is possible using R DBI/ROracle ? I have looked through the documentation and also tried to guess at things which might work, but with no success. I

Hello, I am looking for a measure of linearity in the relationship between two variables. Specifically, I have two variables for which the relationship is reasonably linear over a certain range of values, and then diverges from linearity at either end of the range, as one or other variable "saturates" at a maximum or minimum value. I want to identify the region of linearity, where

Hi, I am intending to submit some patches that enhance the SPARC code generator. Is this the preferred place to post them, or should I send them to llvm-commit? Martin

I have two models, controlled by dummy variables to see if the models can be combined into one model with similar intercepts and slopes. Has anyone tried to conduct this type of test in R. I am utilizing the econometric idea of hypothesis testing through the hypothesis of coincidence. I have tried to run an anova with test of Chisq, but I am not sure what the results are telling. In addition, I

On Sun, 2004-10-24 at 15:33, Mike Whitaker wrote: > On 24 Oct 2004, at 13:25, Mike Whitaker wrote: > > > Ooo. :) > > > > Having just had a look at auth_curl.c in kh, that would probably do > > what we want even better. nice, these things aren't fully settled yet, for instance are enough parameters passed etc. > > Is it possible (or would it *be*

Hello, Has anyone written R functions for applying self-controlled case series methods (http://statistics.open.ac.uk/sccs/). In fact only thing needed is to modify glm function to allow absorption of effect. Eg. in Poisson model individual effect is used as factor, but it is considered as nuisance term where parameter estimates are not needed. Could anyone point how absorbing individual

Hi, I'm running Samba as a glorified NAS at the moment - to begin with, I have an ext3 storage partition, /storage. In this is a directory, /storage/Personal, which has its own Samba share (also Personal). At this point, dos attributes using filesystem xattrs work beautifully. The problem comes when I start to fiddle further... I have a Novell NetWare filesystem (ncpmount) mounted at

Hello, I have a 2 factor linear model, in which the only terms I am interested in estimating and testing are the interaction terms. I want to control for the main effects but have no interest in estimating or testing them. However, I would like an estimate of the interaction effects for every level of the interactions, whereas what I get is one fewer estimate than this, with the first level

I had run into problems when compiling some contributed packages to an installation of R 1.40 by fink on MacOS X. Namely, packages KernSmooth (2.22-7) and cluster (1.4-0) would not find required libraries, though those were present on the system. Jeff Whitaker, the maintainer of the R fink packages, kindly sent me this: > Kaspar: It's not looking in /sw/lib, where the libs are (the