similar to: how to get perfect fit of lm if response is constant

dear expeRts, i would like to merge the data frame entries in a list. for example: > #input > myl <- list(q1=data.frame(id=c("Alice", "Bob"), grade=c(90, 49)), q2=data.frame(id=c("Alice", "Chuck"), grade=c(70, 93)), q3=data.frame(id=c("Bob", "Chuck"), grade=c(84, 40))) > #output > (mydf <-

Hi Stephen, I am not sure that the "for loop" is the source of slowness. You seem to be doing a lot of unnecessary work each time through the loop. e.g. no need to check if it's the last file, just move that section outside of the loop. It will be executed when the loop finishes. As it is you are calling list.files() each time through the loop which could be slow. In any case

I'm attempting to generalise a function that reads individual list components, in this case they are matrices, and converts them into 3 dimensional array. I can input each matrix individually, but want to do it for about 1,000 of them ... This works array2 <- abind(list1[[1]],list1[[2]],list1[[3]],along=3) This doesn't array2 <- abind(list1[[1:3]],along=3) This doesn't either

Eric's approach seems reasonable to me, and I agree that it's probably not the use of a "for" loop that makes the original version slow. As Eric mentioned, there are lots of unnecessary things happening in the loop. For example, list.files() was called twice inside the loop, which is unnecessary, and will definitely slow the loop down (though probably not by much). Call it

Dear All, I have a following for-loop code which is basically intended to read in many excel files (each file has many columns and rows) in a directory and extract the some rows and columns out of each file and then combine them together into a dataframe. I use for loop which can do the work but quite slow. How to make it faster using lapply function ? Thanks in advance! temp.df<-c() #

Hello, I'm new to this and am trying to teach myself some R by plotting biological data. The growth curve in question is supposed to be fitted to the Verhulst equation, which may be transcribed as follows: f(x)=a/(1+((a-0.008)/0.008)*exp(-(b*x))) - for a known population density (0.008) at t(0). I am trying to rework the example from "An Introduction to R" (p. 72) for my case and

How is it possible to have the dovecot.rawlog-directory outside the mail_location? A link to another directory is not because it is checked in rawlog.c S_ISDIR to directory.

https://bugzilla.netfilter.org/show_bug.cgi?id=1101 Bug ID: 1101 Summary: SET target unreliable in iptables - add does not work as expected Product: netfilter/iptables Version: unspecified Hardware: x86_64 OS: Debian GNU/Linux Status: NEW Severity: major Priority: P5

I'd like to use an R CMD BATCH script as part of a chron job that is set up to run every hour. The trouble is that the script creates a graphical output in a file via png(), and apparently this in turn works through X. When cron invokes the job, no X server is available -- I suppose that the DISPLAY variable is not set -- and so R exits with an error message in the output file. (If I run the

Hi Samba-Team, you wrote that you'd like to hear from users, so here I go ...: I was just following your samba wiki on how to implement a new AD domain on an open Suse 12.3 using the Sernet rpm. The documents are very precise, easy to understand and follow. Especially, the example makes it easy to understand. Two things that I have/had a little difficulties with: 1) In your example,

Hi guys, we use dovecot 2.0.9 and authentication against a mysql database. Everything works fine, but we found some weird behavior ? when the password is e.g. ?testpass? you also authenticate successfully with ?testpass123? or ?testpassNOT?. Whatever comes after the correct password doesn?t matter, the authentication is still successful. Here are the used configs: // auth-sql.conf.ext

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On Thu, 12 Mar 2015, Hardy Flor wrote: > How is it possible to have the dovecot.rawlog-directory outside the > mail_location? A link to another directory is not because it is checked in > rawlog.c S_ISDIR to directory. Patch rawlog.c and recompile. :) - -- Steffen Kaiser -----BEGIN PGP SIGNATURE----- Version: GnuPG v1

Hello, I wrote a function create_report that calls the function Sweave. create_report shall be used to create a pdf-report about an lm-Object which is passed as an argument to create_report. I try to use an object sel_model, that is created within the function environment of create_report and later on used within the first code chunk of the file report_template.rnw. When I use following code I

Dear group, I am trying to write functions, but as a beginner, everything is not so obvious. Let's say I want the results in a list of elemts like this : tot1, tot2, etc Here is a function: toto <- function(x,y) { for(i in x:y){ paste(c("tot",i),collapse="")<-(i*2) } } If I type this : >toto(1,5) I get this message error: Error in paste(c("tot",

Everyone, Have any of you installed ubiguiti wireless routers on your network? It looks like the setup requires the use of software; they have some packages that are ready made for Ubuntu and Debian, but not RedHat https://www.ubnt.com/download/unifi/unifi-ap-ac-pro Have any of you tried or succeeded in installation this on Centos 7.4? Greg Ennis

I've recently come across the following results reported from the lm() function when applied to a particular type of admittedly difficult data. When working with small data sets (for instance 3 points) with the same response for different predicting variable, the resulting slope estimate is a reasonable approximation of the expected 0.0, but the p-value of that slope estimate is a surprising

Regarding the following extract of ?options: ?editor?: a non-empty string, or a function that is called with a file path as argument. edit.default currently calls the function with three arguments: name, file, and title. For example, running the following vimCmd <- 'vim -c "set ft=r"' vimEdit <- function(file_) system(paste(vimCmd, file_)) options(editor =

Dear useRs, I have a utility function which is meant to be a clone of ls(), except with the option all.names=TRUE. Currently however, the function merely consists of a copy of the source code of ls(), except the default value of all.names is different. That approach has the drawback of future inconsistency if the code for ls() ever changes. No comment on whether that is likely or not; I would

Tim, I think what you're seeing is https://en.wikipedia.org/wiki/Loss_of_significance. Cheers, Mark From: "Glover, Tim" <Tim.Glover at amecfw.com> To: "r-help at r-project.org" <r-help at r-project.org> Date: 09/05/2017 11:37 AM Subject: [R] Interesting behavior of lm() with small, problematic data sets Sent by: "R-help"

Hi all, I wrote a r program as below: x <- 1:10 y <- c(3,3,3,3,3,3,3,3,3,3) fit <- lm(log(y) ~ x) summary(fit) And I expect to get some error message from R, because "y" is constant. But, I got the message as below: > summary(fit) Call: lm(formula = log(y) ~ x) Residuals: Min 1Q Median 3Q Max -6.802e-17 -3.933e-17 -1.063e-17 1.807e-17