similar to: GLM outputs in condensed versus expanded table

Dear R Experts that's my original equation > x=c(2,4) > Y1=sum(sapply(1:2,function(i){sum(sapply(1:i,function(j){(3^(x[i]+x[j]))}))})) > y1 [1] 7371 I want to write the inside function (3^(x[i]+x[j])) in a more condensed form cause this will help me when the multiple summations are more than two I've tried the following form >

Hello all, I'm currently using R to do PCA Analysis, and was wondering if anyone knew the specific R Code that could limit the output of the PCA Analysis so that you only get the Principal Component features as your output and none of the extraneous words or numbers that you don't want. If that was unclear, let me use linear regression as an example: "lm(y~x)" is the normal

Hi everyone, I'm working on a script trying to use foreach %dopar% but without success, so I manage to run the code with foreach %do% and looks like this: The code is part of a MCMC model for projects valuation, returning the most important results (VPN, TIR, EVA, etc.) of the simulation. foreach (simx = NsimT, .combine=cbind, .inorder=FALSE, .verbose=TRUE) %do% { MCPVMPA = MCVAMPA[simx]

On 04.08.20 11:33, Mike Rapoport wrote: > On Tue, Aug 04, 2020 at 09:24:08AM +0200, David Hildenbrand wrote: >> Let's document what ZONE_MOVABLE means, how it's used, and which special >> cases we have regarding unmovable pages (memory offlining vs. migration / >> allocations). >> >> Cc: Andrew Morton <akpm at linux-foundation.org> >> Cc: Michal

On 04.08.20 12:03, Mike Rapoport wrote: > On Tue, Aug 04, 2020 at 11:55:10AM +0200, David Hildenbrand wrote: >> On 04.08.20 11:33, Mike Rapoport wrote: >>> On Tue, Aug 04, 2020 at 09:24:08AM +0200, David Hildenbrand wrote: >>>> Let's document what ZONE_MOVABLE means, how it's used, and which special >>>> cases we have regarding unmovable pages

bonjour en travaillant avec un logiciel Multiple source methode, j'ai eu ce message d'erreur : simpleError in storage.mode(y) - "double": invalid to change the storage mode of a factor en recherchant sur le net , c'est un message universel svp, que signifiera ce message ? merci pour votre int?r?t anzid -- View this message in context:

Hello: I'm dealing with an issue currently that I'm not sure the best way to approach. I've got a very large (10G+) dataset that I'm trying to create a histogram for. I don't seem to be able to use hist directly as I can not create an R vector of size greater than 2.2G. I considered condensing the data previous to loading it into R and just plotting the frequencies as a

> > Hi all, > I have a vector xm say: xm = c(1,2,3,4,5,5,5,6,6) > > I want to return a vector with the corresponding probabilities based on the > amount of times the numbers occurred. For example, I should get the > following vector for xm: > prob.xm = c(1/9, 1/9, 1/9, 1/9, 3/9, 3/9, 3/9, 2/9, 2/9) > Using prop.table gives: Usage (with table) > prob.xm <-

Hi, I would like to plot a linear relationship between variable x and y. Can anyone help me with scaled plotting and axes so that all data points can be visualized somehow evenly? Plaint plot(x,y) will generate condensed points near (0,0) due to several large data points. Thank you. Eric > x [1] 0.3497630 3.3948900 1.5224900 0.2690660 0.1078720 0.0451689 0.5902680 0.2757550

I have used R for years but run into a seemingly simple problem involving 'ifelse'. condensed code like this a=c(2,NA,NA,NA,2,2,NA,2,NA,2) b=c(NA,1,1,NA,2,2,2,2,2,2) #I want to combined a and b into c so that c would be a valid number either a or b is not missing c=ifelse(a==1|b==1,1,ifelse(a==2|b==2,2,NA)) cbind(a,b,c) a b c [1,] 2 NA NA [2,] NA 1 1 [3,] NA 1 1

Hi, patch inlined for reowkr -> rework conversion in 0.5.3 NEWS entry. cheers, riccardo diff --git a/NEWS b/NEWS index 10b69f7..245c336 100644 --- a/NEWS +++ b/NEWS @@ -5,7 +5,7 @@ Lots of new built-in objects and code cleanup are the highlights of yet another Swfdec release. And a little less condensed: - rework of what APIs call into the script engine. This greatly simplifies using

I'm trying to understand how to use kpss.test() properly. If I have a level stationary series like rnorm() in the help page, shouldn't I get a small p-value with the null hypothesis set to "Trend"? The (condensed) output from kpss.test() for the two possible null hypotheses is given below. I don't see any significant difference between these results. > x <-

Here's the info: codeweavers-wine-20010305-1 on RH 6.2 Building font metrics. This may take some time... fixme:font:LFD_InitFontInfo font '-2rebels-flare light gothic-light-r-normal--0-0-0-0-p-0-fcd8859-15' has unknown registry 'fcd8859' and character encoding '15' fixme:font:LFD_InitFontInfo font '-2rebels-franklin cond.

I made a page to help anyone who simply wants these things: 1) Samba to work. 2) Shortest amount of steps. 3) Autoreconnect at login to work. I've condensed setting up samba into four easy steps. I hope this helps a lot of people. http://www.installkernel.com/samba Enjoy!

Hi, I've written some code that fetches data from an Access Database (2003), processes the data, then saves the modified data back into a table in the Access database. It works if I only pass through the code once, but if I put a loop around the code so that I fetch data from a different source table, and then save it again to a different destination table, the code crashes. It is

I have applied the same linear model to several different subsets of a dataset. I recently read that in R, code should never be repeated. I feel my code as it currently stands has a lot of repetition, which could be condensed into fewer lines. I will use the mtcars dataset to replicate what I have done. My question is: how can I use fewer lines of code (for example using a for loop, a function or

Rainer, Arjen I was wandering around the code, and found that few things are missing around the IVT code: - no manpage, - no entry in driver.list - no device{mfr,model,type} in the code. I was about to submit a patch to address the above (ready to commit), but wanted first to get an update on the status. looking at the last thread, it's a bit unclear... I'm also interested an upsc

@Andrew can we give this a churn and consider it for v5.9 in case there are no more comments? Patch #1-#4 have RB's, patch #5 is virtio-mem stuff maintained by me, patch #6 is just a doc update. --- Currently, virtio-mem does not really support ZONE_MOVABLE. While it allows to online fully plugged memory blocks to ZONE_MOVABLE, it does not allow to online partially-plugged memory blocks to

@Andrew can we give this a churn and consider it for v5.9 in case there are no more comments? Patch #1-#4 have RB's, patch #5 is virtio-mem stuff maintained by me, patch #6 is just a doc update. --- Currently, virtio-mem does not really support ZONE_MOVABLE. While it allows to online fully plugged memory blocks to ZONE_MOVABLE, it does not allow to online partially-plugged memory blocks to

I have read everything I can find on how to manipulate a results matrix in R and I have to admit I'm stumped. I have set up a process to extract a dataset from ArcGIS to compute a similarity index (Jaccards) in Vegan. The dataset is fairly simple, but large, and consists of rows = sample area, and columns = elements. I've been able to view the results in R, but I want to get the results