similar to: alternative to multiple t-test to find steady-state

Hello everyone, I am trying to fit the following model All X. variables are continuous, while the conditions are categoricals. model <- lm(X2

Hallo, All, I have a question about changing the height or scale of the y axis. When I use following two R codes, I can get two plots. Please look at the y axes, the number of indices (x1, x2, ?) on the y axis in the first plot is smaller than that in the second plot, and hence the space between any two indices in the first plot is wider than that in the second plot. As the number of indices

Hi All, I have a query about time based sequences. I know such questions have been asked a lot on forums, but I couldnt find the exact thing that I was looking for. I want to create a time-based sequence which will mimic the trading window AND would span multiple days. Something like below: "2011-01-03 09:15:00 IST" "2011-01-03 09:15:01 IST" .... .... .... "2011-01-03

My apologies for not including sessionInfo(), and I'm a bit angry at myself for that. Retrying in a fresh session of R, I get different results. More specifically, I get the expected result where accuracy is the same in the first and the last line. As I didn't include my sessionInfo() in my previous mail, I can't figure out why I now have a different result. So I'm positive

Dear List, I've around 1000 *.txt files, I've generate with other software. I've now done the following code (below). My question is how can I automate this (with do.call () ?), so it could be done for all the *.txt files. Thanks in advance, Rog??rio names<- list.files() file <- "BLU_Var_%04d.txt" for(i in 1:1000){

Hi - a newbie question, if someone can please help.... I want to change X1, X2,,.....to X.1 X.2 etc in the names below. I am using the Principal Component Regression function (pcr) and it seems to want it this way > datap3.pcr <- pcr(water ~ X, 10, data = datap3, Validation ="cv") Error in model.frame.default(formula = water ~ X, data = datap3) : invalid type (list) for

What OS are you on? On Ubuntu 17.10 with R 3.4.3 all seems well (see below for your example, I just added a setwd()). [ That said, I long held a (apparently minority) view that csv is for all intends and purposes a less-than-ideal format. If you have that much data, you do generally not want to serialize it back and forth as that is slow, and may drop precision. The rds format is great for R

Dear all, I have encountered a weird behaviour in R survival package which seems to me to be a bug. The weird behaviour happens when I am using 100 variables in the ridge function when calling coxph with following formula Surv(time = futime, event = fustat, type = "right") ~ ridge(X1, X2, X3, X4, X5, X6, X7, X8, X9, X10, X11, X12, X13, X14, X15, X16, X17, X18, X19, X20, X21, X22,

I ran this code in RStudio Server on a linux machine, but I don?t know the version offhand. I will try to get it tomorrow. Thanks. Thanks, Greg Michaelson www.datarobot.com 704-981-1118 > On Mar 14, 2018, at 4:47 PM, Joris Meys <jorismeys at gmail.com> wrote: > > To my surprise, I can confirm on Windows 10 using R 3.4.3 . As tail is not recognized by Windows cmd, I replaced

To my surprise, I can confirm on Windows 10 using R 3.4.3 . As tail is not recognized by Windows cmd, I replaced with: system('powershell -nologo "& "Get-Content -Path temp.csv -Tail 1') The last line shows only 7 digits after the decimal, whereas the first have 15 digits after the decimal. I agree with Dirk though, 1.6Gb csv files are not the best way to work with

I don't see the issue here. It would be helpful if people would report their sessionInfo() when reporting whether or not they see this issue. Mine is > sessionInfo() R version 3.4.3 (2017-11-30) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Arch Linux Matrix products: default BLAS/LAPACK: /usr/lib/libopenblas_haswellp-r0.2.20.so locale: [1] LC_CTYPE=en_US.UTF-8

Hello All, I have a question about glm in R. I would like to fit a model with glm function, I have a vector y (size n) which is my response variable and I have matrix X which is by size (n*f) where f is the number of features or columns. I have about 80 features, and when I fit a model using the following formula,? glmfit = glm(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13

Hi, a collegue has send me an excel sheet with some plasma values, and now he wants to know the AUC steady state. I took a look at the CRAN taskviews, and came up with PK, PKtools, ... The AUC calculation, no problem with that, but how do I calculate the steady state? One way of thinking was with the aid of multiple t-test, to find where we couldn't find difference between the different

Hi, I was wondering how it was possible to access the actual cluster exemplars from the APResult class. Currently it only spits it out onto the terminal if you type the object but there is no other way to see which one is the examplar. Would appreciate any help. Thanks, Sachin [[alternative HTML version deleted]]

Dear R-helpers, I will like to know if there is a way to generate a stacked column graph using both patterns and colors to fill the bars. I have many categories for the number of color available in R, so I will like R to start with solid colors and then use patterns an colors. I have been using barplot and some code that I found in the archives, but I am still having bars with the

Hello, I have looked on https://www.r-project.org/bugs.html , but it seems that this is the only way to do it. The issue is that the precision used by write.csv is on consistant for big files. See the following code: First I create a large dataframe filled with random uniform values. Then I write it to .csv and print out the first and last lines. df = data.frame(replicate(100, runif(1000000,

On Wed, 13 Mar 2019 19:30:30 +0100 "Stefan G. Weichinger via samba" <samba at lists.samba.org> wrote: > Am 13.03.19 um 18:50 schrieb Rowland Penny via samba: > > > Try running 'samba-tool ldapcmp ldap://dc1 ldap://dc2' > > thanks! > > I get differences, too many to post here, but I assume mostly related > to the drift between the 2 dcs now?

Am 13.03.19 um 18:50 schrieb Rowland Penny via samba: > Try running 'samba-tool ldapcmp ldap://dc1 ldap://dc2' thanks! I get differences, too many to post here, but I assume mostly related to the drift between the 2 dcs now? (lastLogonTimestamp seems obvious to me) What might solve the initial problem *maybe* * Comparing [DNSFOREST] context... * Objects to be compared: 19

Open-Xchange Security Advisory 2020-08-12 Affected product: Dovecot IMAP server Internal reference: DOP-1869 (Bug ID) Vulnerability type: CWE-126 (Buffer over-read) Vulnerable version: 2.2 Vulnerable component: auth Fixed version: 2.3.11.3 Report confidence: Confirmed Solution status: Fix available Vendor notification: 2020-05-03 Researcher credit: Orange from DEVCORE team CVE reference:

Open-Xchange Security Advisory 2020-08-12 Affected product: Dovecot IMAP server Internal reference: DOP-1869 (Bug ID) Vulnerability type: CWE-126 (Buffer over-read) Vulnerable version: 2.2 Vulnerable component: auth Fixed version: 2.3.11.3 Report confidence: Confirmed Solution status: Fix available Vendor notification: 2020-05-03 Researcher credit: Orange from DEVCORE team CVE reference: