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Hey, I have an array with the dimensions 200x6x200 and I want to save it in a textfile. I want to be able to reload the text file to get the same array again: new.array<-load(mytextfile.txt) or something similar. I was not able to figure out a way to do that with write.table without having to save 200 text files. Is there another way? Thank you! Frauke -- View this message in context:

Dear Frauke, good afternoon, Could you tell me which excel function didnt work for regression analysis and what excel version where you using? Best regards, Paul El 07/11/2012 11:55, "frauke" <fhoss@andrew.cmu.edu> escribió: > Hi David, hi Rui, > > thanks for your quick replies. I have replicated David's R results and > confirmed them with Minitab. Though I'm not sure what you are trying to > tell > me with the code you wrote, David. Do you mean, I should use a da...

Dear R community, I have the following problem I hoped you could help me with. My data is save in thousand of files with a weird extension containing for numbers and a z. For example *.1405z. With list.files I managed to load this data into R. It looks like this (the row numbers are not in the original file): 35 :LATEST STAGE 3.60 FT AT 730 AM CST ON 0102 36

Hi everybody, recently a member of the community pointed me to the useful predict.lm() comment. While I was toying with it, I stumbled across the following problem. I do the regression with data from five years. But I want to do a prediction with predict.lm for only one year. Thus my dataframe for predict.lm(mod, newdata=dataframe) is shorter than the orginial vector that I did the regression

Hey everybody, it would be really appreciate if you knew the solution to the following problem. I am trying to load data from the internet into R without having to save them. However, I need to acess a different website for each dataset. So I want to alternate an element in the URL. Eventually, I want to fill a 3 dimensional matrix/array where each slice is a two-dimensional matrix from the

Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices. Basically, * mod<-lm(matrix1 ~ matrix2+matrix3)* ( What looks like a minus is meant to be the wiggly minus.) Of course I could dissemble the matrices and paste

Hallo, I am totally confused why Excel and R give me totally different regression results for the data below. If you know the solution, please enlighten me. In Excel I used LINEST() and Data>Data Analysis>Regression and both (fortunately) gave the same result. The coefficients were: /b0=1.16, b1=0.957, b2=0.024, R2=0.0027, adjusted R2=-0.017/ In R I used