similar to: Data manipulation

Hello, Is there a simple way of stacking/merging two dataframes in R? I want to stack them piece-wise, not simply add one whole dataframe to the bottom of the other. I want to create as follows: x.frame: aX1 bX1 cX1 ... zX1 aX2 bX2 cX2 ... zX2 ... ... ... ... ... aX99 bX99 cX99 ... zX99 y.frame: aY1 bY1 cY1 ... zY1 aY2 bY2 cY2 ... zY2 ... ... ... ... ... aY99 bY99 cY99 ...

Hello everyone, Thank you for this. Nonetheless it is not exactly want i need. I need mydata[[1]] to provide the values for all 3 variables (Y, X1 and X2) of the first imputation only. As it stands it returns the whole database. Any ideas? Best, ioanna ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: 24 May 2018 16:04 To: Ioanna Ioannou Cc:

Hello all, I have data in the form of a table: X Y1 Y2 0.1 3 2 0.2 2 1 And I would like to transform in the form: X Y 0.1 Y1 0.1 Y1 0.1 Y1 0.1 Y2 0.1 Y2 0.2 Y1 0.2 Y1 0.2 Y2 Any ideas how? Thanks in advance, IOanna [[alternative HTML version deleted]]

Hello everyone, I want to transform a data.frame into an array (lets call it mydata), where: mydata[[1]] is the first imputed dataset...and for each mydata[[d]], the first p columns are covariates X, and the last one is the outcome Y. Lets assume a simple data.frame: Imputed = data.frame( X1 = c(1,2,1,2,1,2,1,2, 1,2,1,2,1,2,1,2), X2 =

This is one of those instances where a less superficial knowledge of R's technical details comes in really handy. What you need to do is convert the data frame to a single (numeric) vector for, e.g. a matrix() call. This can be easily done by noting that a data frame is also a list and using do.call(): ## imp is the data frame: do.call(c,imp) X11 X12 X13 X14 X15 X16 X17 X18 X19

Hola compañeros, estaba utilizando la función "aggregate" y quería que tuviese en cuenta los NAs. He leido la documentación de dicha función y aparece esto: # and if you want to treat NAs as a group fby1 <- factor(by1, exclude = "") fby2 <- factor(by2, exclude = "") aggregate(x = testDF, by = list(fby1, fby2), FUN = "mean")

Hi all, A suggestion derived from discussions amongst a number of R users in my research group: set the default column names produced by aggregate () equal to the names of the objects in the list passed to the 'by' object. ex. it is annoying to type with( my.data ,aggregate( my.dv ,list( one.iv = one.iv ,another.iv = another.iv ,yet.another.iv = yet.another.iv )

hi i try to do a graph of a time series which shows in red the values > -0.05, in blue the values >0.05 and in white the values between -0.05 and 0.05 for un exemple :http://www.appinsys.com/globalwarming/enso.htm thanks !!!!! denisse -- View this message in context: http://r.789695.n4.nabble.com/how-to-do-a-graph-with-tree-different-colors-tp4635206.html Sent from the R help mailing

Dear R users, About a year ago Deepayan offered a suggestion to incorporate error bars into a dotplot using the singer data as an example <<http://finzi.psych.upenn.edu/R/Rhelp02a/archive/63875.html>>. When I try to utilize this code with a grouping variable, I get an error stating that the subscripts argument is missing. I have tried to insert them in various ways, but cannot

Respected Sir/Madam, I am a research scholar of Department of Statistics, University Of Calcutta. I had downloaded the latest version of "BRugs", and installed it in R 2.15.1 both in 32 and 64 bits with the help of openBUGS 3.2.2. My problem is that one of the programmes which requires the package "BRugs" is giving me an error given below:

I'm looking for a driver for and old uninterruptible power supply (UPS), Eaton Powerware 9125 2500U. I want to use it with my FreeNAS server. I looked a the list and didn't see a driver for it: http://www.networkupstools.org/stable-hcl.html?manufacturer=Eaton I see a driver for the 9130; any idea whether it will work with a 9125? Any other ideas for connecting the 9125 to a FreeNAS

Hi, This might be a simple problem but I don't know how to calculate a random variable density the way panel.histogram does it before it creates the actual density rectangles. The documentation says that it uses the density function but the actual code suggests that the hist.constructor function (which does not seem to be easily accessible). Any suggestion for computing the density values of

Hi, My error isErro em hist.default(dados[[1]], freq = TRUE, seq(0, 30, 0.5), prob = FALSE, : some 'x' not counted; maybe 'breaks' do not span range of 'x' hist(dados[[1]],seq(0, 30, 0.5), prob=TRUE, xlab="chuva (mm/dia)",ylab="frequência", main="", cex.lab=1.6, cex.sub=3,cex.axis=3,cex.main=6) Someone help me? [[alternative

On Sep 19, 2014, at 4:03 PM, Nello Lucchesi <nello at octobergroup.com> wrote: > I'm looking for a driver for and old uninterruptible power supply (UPS), Eaton Powerware 9125 2500U. I want to use it with my FreeNAS server. > > I looked a the list and didn't see a driver for it: > > http://www.networkupstools.org/stable-hcl.html?manufacturer=Eaton > > I see a

Hello, I run a linear regression I get the summary, e.g.: > summary(lm.r) Call: lm(formula = signal ~ conc) Residuals: 1 2 3 4 5 0.4 -1.0 1.6 -1.8 0.8 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.60000 1.23288 2.92 0.0615 . conc 1.94000 0.05033

Hi, I want to plot means with standard deviations of Total Nitrogen (TN) across 4 stations (S1-S4) and over 3 years (2007-2009). I want this plot in one panel. I do not want medians (bwplot, boxplot). I have tried a few different packages and it seems that ggplots with plotmeans was the fastest (I am not extremely skilled in writing my own scripts). Unfortunately, there is no grouping

i just tried to build llvm-3.0rc2 on my powerpc (G4) but without success. My toolchain (CRUX PPC 2.7): gcc-4.5.3, binutils-2.21.1, glibc-2.12.2, libffi-3.0.10 my llvm config: ./configure --prefix=/usr --mandir=/usr/man \ --enable-shared \ --enable-libffi --enable-optimize \ --enable-targets=all \ --enable-threads --enable-pic --enable-jit \

Hello all, I would like to use the Nadaraya-Watson estimator assuming a Gaussian kernel: So far I sued the library(sm) library(sm) x<-runif(5000) y<-rnorm(5000) plot(x,y,col='black') h1<-h.select(x,y,method='aicc') lines(ksmooth(x,y,bandwidth=h1)) which works fine. What if my data were clustered requiring a bandwidth that varies with x? How can I do that? Thanks in

Hi, Is there any chance you will merge the suggested patch? Thanks, Jo On Thu, Apr 18, 2019 at 2:01 PM Richard W.M. Jones <rjones@redhat.com> wrote: > On Thu, Apr 18, 2019 at 12:17:18PM +0100, Ioanna Alifieraki wrote: > > I had tried this approach, to add > /etc/dhcp/dhclient-enter-hooks.d/resolved > > to excludefiles, however it didn't work. > > As far as I

Hello, I am trying to perform a logistic regression using counts. For example: cedegren <- read.table("http://www.cloudstat.org/index.php?do=/attachment/download/id_95 /", header=T) attach(cedegren) ced.del <- cbind(sDel, sNoDel) ced.logr <- glm(ced.del ~ cat + follows + factor(class), family=binomial("logit")) This works. However, if I change the family to