similar to: Problem with strptime

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

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

I have two data frames: > str(ysmd) 'data.frame': 8325 obs. of 6 variables: $ X.stock : Factor w/ 8325 levels "A","AA","AA-",..: 2702 6547 4118 7664 7587 6350 3341 5640 5107 7589 ... $ market.cap : num -1.00 2.97e+10 3.54e+08 3.46e+08 -1.00 ... $ X52.week.low : num 40.2 22.5 27.5 12.2 20.7 ... $

Deall all, I'm just learning R, but unfortunately I need to urgently do a rather more complex task so I need some help. I have just learnt the very basics a few days ago and am not ready yet to deal with panels and kernel densities, so a soft guidance would be most appreciated. I have a (very) large panel data set (400,000 individuals x50 time periods) and need to display the evolution of

Hi, I am confused by the way the indexing works. I read a table from a csv file like this: ysmd <- read.csv("ysmd.csv",header=TRUE); ysmd.table <- hash(); for (i in 1:length(ysmd$X.stock)) ysmd.table[ysmd$X.stock[i]] <- ysmd[i,]; the first column ("X.stock") is a string (factor): > ysmd$X.stock[[100]] [1] FLO 7757 Levels: A AA AA- AAAAA AAC AACC AACOU AACOW AADR

Hello to all, I'm a biologist trying to tackle a "fish" (Poisson Regression) which is just too big for my modest understanding of stats!!! Here goes... I want to find good literature or proper mathematical procedure to calculate a confidence interval for an inverse prediction of a Poisson regression using R. I'm currently trying to analyse a "dose-response"

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 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, Please help about the error I am getting after the h1.dat<- line : this line worked with much more independant variables and bigger data. This time I want to work with just 2 variables cteD & cteTh. What is wrong ? > setwd("C:/Rstudio/Trot") > library(mlogit) > horse1.data<-read.csv("cte2.csv") >

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

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

Hi Everyone, I have a dataset like this mean sd 0% 25% 50% 75% 100% n BODY TEMPERATURE 36.41099 0.4015699 35.1 36.22222 36.5 36.66667 37.1 89 DIASTOLIC BLOOD PRESSURE 73.60079 9.4656186 50.0 67.00000 73.0 80.00000 95.0 253 HEIGHT 171.94000 9.2011670 153.5 166.50000 173.0 176.25000 190.0

> On 27 Jul 2017, at 18:03 , Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > > Looks like you need to pay attention to how you read in your data. In general, you should always execute one statement at a time until you know your script is working. All the errors after the first one are unhelpful to you or us. > > If you actually pay attention to what is in your

Dear R users, I am having trouble devising an efficient way to run a loess() function on all columns of a data.frame (with the x factor remaining the same for all columns) and I was hoping that someone here could help me fix my code so that I won't have to resort to using a for loop. (You'll find the upcoming lines of code in a single block near the end of the message.) Here's a

Looks like you need to pay attention to how you read in your data. In general, you should always execute one statement at a time until you know your script is working. All the errors after the first one are unhelpful to you or us. If you actually pay attention to what is in your horse.data data frame after you have read it in, the columns did not get separated out. The "csv" in in

Hello, There's a typo in your call to mlogit.data, it should be alt.var="nbChev", not alt.var="noChev". Then the error is different. You should check the call arguments to see if they make sense. Hope this helps, Rui Barradas Em 28-07-2017 13:14, sandoz at free.fr escreveu: > I re post my question with the csv problem fixed. > > Can someone explain the

Dear All, I am trying to convert to POSIXct after pasting a date and a time in character format with strptime. It is probably obvious but I don't understand why I get an error message after bsamp$spltime<-strptime(test,format="%d-%B-%y %H:%M") whereas I can get what I want if I do it in 2 steps and rbinding ? Thanks and best regards, Jean-Louis This is the R console output

Hello, Inline. Em 27-07-2017 20:36, peter dalgaard escreveu: > >> On 27 Jul 2017, at 18:03 , Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: >> >> Looks like you need to pay attention to how you read in your data. In general, you should always execute one statement at a time until you know your script is working. All the errors after the first one are unhelpful