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...1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html -- Sent from my phone. Please excuse my brevity. On June 20, 2017 7:01:23 AM PDT, Wolfgang K <mails00000 at gmail.com> wrote: >Hi, > >well, I know how to use for-loop and create vectors. That is not the >point. However, implementing this code is - at least for me - not as >trivial as it seems since you have changes in the signs as well as >changes in multiplication by TPR1 and TPR...

Hello, I used read.xlsx to read in Excel files but for large files it turned out to be not very efficient. For that reason I use a programme which writes each sheet in an Excel file into tab-delim txt files. After that I tried using read.table and read.delim to read in those txt files. Unfortunately, the results are not as expected. To show you what I mean I created a tiny Excel sheet with some

Hello, I am trying to implement the following formula using for loops and vectors. I am sure you can use some fancy R code to solve this but I would like to keep it simple and stick to for and vector/array if that is possible. TP = 200; RL = 50; TPR1 = TP - RL; TPR2 = TP + RL; PPO = 0; LSS = 0.1; counter = 1; for(i in res) { # Even if(counter %% 2 == 1) { ls = abs((sum(LSS)* TP)) /

Dear list, I am running R code which produces a data.frame with variable rows. For plotting purposes I need to relevel the column called "names" but since the dimension of the data.frame can vary I do not know how to dynamically revel the data.frame. Here is an example data.frame called df to illustrate what I try to achieve: > df <-

the study design of the data I have to analyse is simple. There is 1 control group (CTRL) and 2 different treatment groups (TREAT_1 and TREAT_2). The data also includes 2 covariates COV1 and COV2. I have been asked to check if there is a linear or quadratic treatment effect in the data. I created a dummy data set to explain my situation: df1 <- data.frame( Observation =

Hello, I implemented two functions reshape_long and reshape_wide (see full working example below) to reshape data frames. I created several small examples and the two functions seemed to work properly. However, using the reshape_wide function on my real data sets (about 200.000 to 300.000 rows) failed. What happens is set all values for X, Y and Z were set to 1. The structure of my real data

Hello, I need to analyse a data matrix with dimensions of 30x100. Before analysing the data there is, however, a need to remove outliers from the data. I read quite a lot about outlier removal already and I think the most common technique for that seems to be Principal Component Analysis (PCA). However, I think that these technqiue is quite subjective. When is an outlier an outlier? I uploaded

Hello, I use the R command unlink(file, recursive = TRUE, force = TRUE) to delete folders, subfolders and files on Mac OS X. When I was running my script on a Windows computer I realised that for unlink there is no option/parameter "force". I do not know why but without that "force" option R cannot delete the subfolders/files. What can I do? -- View this message in

Dear members of the R-help list, I have sent the email below to the R-SIG-ME list to ask for help in interpreting some R output of fitted linear models. Unfortunately, I haven't yet received any answers. As I am not sure if my email was sent successfully to the mailing list I am asking for help here: Dear members of the R-SIG-ME list, I am new to linear models and struggling with