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Hello all, I´m trying to study a factorial design, but I can´t understand why did Df, Sum Sq and Mean Sq of residuals alter when I Split the interaction? I think that Split the interaction must not alter the residuals. Am I doing something wrong? Could anyone help me? My data and functions I tried are: Y<-c(196,213,183, 192,253,199, 251,331,276,

i am new to R,so i post here to ask you how to learn R quickly? is there some usefull materials about using R. ps:though the manual is a good materials,but it is not the best for a newbie,i think. thank you !

Hi R-helpers! I have the following object: > head(coeficientes) caedois b1 b2 b3 1 1 0,033120395 -20,29478338 -0,274638864 2 2 -0,040629634 74,54239889 -0,069958424 3 5 -0,001116816 35,2398622 0,214327185 4 10 0,171875 5 14 0,007288399 40,06560548 -0,081828338 6 15 0,027530346 0,969969409 0,102775555

OK I have been trying to learn how to use this program and I cannot even import any data into it. I have downloaded all the manuals but they do not seem to help. Is there a book on R for dummies???

Hi everyone, I have been merging many big dataframes (about 80000 rows each) and I never had this problem, but now it happened to me and I want to know if someone knows what could be happening. The final dataframe has many rows, an impossible number! I have done edit(dataframe) and I saw that there are many repeated rows (all equal). Thanks for any help, Cec?lia Carmo Universidade de

Hi everyone! #I need a loop or a function that creates a X2 variable that is X1 without the extreme values (or X1 winsorized) by industry and year. #My reproducible example: firm<-sort(rep(1:1000,10),decreasing=F) year<-rep(1998:2007,1000) industry<-rep(c(rep(1,10),rep(2,10),rep(3,10),rep(4,10),rep(5,10),rep(6,10),rep(7,10),rep(8,10),rep(9,10), rep(10,10)),1000) X1<-rnorm(10000)

Thank you all!!! The problem was the decimal symbol! My data was saved in a txt file, so I?ve introduced the dec="," in ?read.table? and it worked. What I?ve done was coeficientes<-read.table("coeficientes.txt",sep="\t",header=T,dec=",") Then, subset worked fine coeficientesWanted<-subset(coeficientes,b1>0) Thanks again, Cec?lia Carmo

Hi R-helpers, I have two questions I hope you could help me with them: In the plm package how can I calculate the R2 within, R2 between and R2 overall? Is there any special reason to not display these values? When using first differences do I need to have some special care with dummies (both year dummies and industry dummies)? (A friend who works with Stata told me that there is

Hello Haki I fixed this problem following the instructions in /usr/src/zaptel-1.0.9/README.udev. Regards Cec?lia -----Mensagem original----- De: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com]Em nome de Erdem HAKI Enviada em: sexta-feira, 15 de julho de 2005 05:11 Para: 'Asterisk Users Mailing List - Non-Commercial Discussion' Assunto:

convertpdf2txt <- function(dirpath){ files <- list.files(dirpath, pattern = "Consoli.*\\.pdf$", full.names = TRUE) files <- chartr("\\", "/", files) x <- lapply(files, function(x){ pdftools::pdf_text(x) %>% paste0(collapse = " ") %>% stringr::str_squish() }) new_names <-

I need help in subseting a dataframe: data1<-data.frame(year=c(2001,2002,2003,2004,2001,2002,2003,2004, 2001,2002,2003,2004,2001,2002,2003,2004), firm=c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4),x=c(11,22,-32,25,-26,47,85,98, 101,14,87,56,12,43,67,54), y=c(110,220,302,250,260,470,850,980,1010,140,870,560,120,430,670,540)) data1 I want to keep the firms where all x>0 (where there are

I am taking my first steps in textual analysis with R. I have pdf files consisting of company reports for several years (1 file corresponds to 1 company and 1 year). My idea is to start by transforming all my pdf files into txt files for further treatment and analysis (this will allow me to group the files by company or by year, depending on the future analysis to be performed). I do not have

Hi everyone! I'm matching two samples to create one sample that have pairs of observations equal for the k1 variable. Merge() doesn't work because I dont't want to recycle the values. x <- data.frame(k1=c(1,1,2,3,3,5), k2=c(20,21,22,23,24,25)) x y <- data.frame(k1=c(1,1,2,2,3,4,5,5), k2=c(10,11,12,13,14,15,16,17)) y merge(x,y,by="k1") k1 k2.x k2.y 1 1 20

Hey, R users I am using?numerical method for my research paper and the computation burden is very heavy. first I tried to do it with loops, example code as following, and it take hours to converge for only 200 obs. and my real data has 4000 obs. and the optimization command that I use is: optim(guess,myfunc1,data=mydata, method="BFGS",hessian=T)) then I tried matrix

Hi R-helpers I want a function that performs the opposite of lag() with panel data. I have transformed my data before with pdata.frame(mydata, index=c("groupindex", “timeindex")) And then I’ve done lag(mydata, -1) but it doesn’t work. The error message was: Error in rep(1, ak) : invalid ''times'' argument Thank you in advance, Cecília Carmo

Hi R helpers! I have the following dataframe ?choose? choose<-data.frame(firm=c(1,1,2,2,2,2,3,3,4,4,4,4,4,4), year=c(2000,2001,2000,2001,2002,2003,2000,2003,2001,2002,2003,2004,2005,2006),code=c(10,10,11,11,11,11,12,12,13,13,13,13,13,13)) choose I want to subset it to obtain another one with those observations for which there more than 2 observations in the column ?code?. So I want a

I R-helpers #I have a data panel of thousands of firms, by year and industry and #one dummy variable that separates the firms in two categories: 1 if the firm have an auditor; 0 if not #and another variable the represents the firm dimension (total assets in thousand of euros) #I need to create two separated samples with the same number os firms where #one firm in the first have a corresponding

Hi everyone, Could anyone tell me what means the follow error message Error in xj[i] : invalid subscript type 'closure' It happens when I run the function plm, like this: >ff<-totaccz~lactivoz+varvolnegz >ss<-plm(ff,data=regaccdis,na.omit) Error in xj[i] : invalid subscript type 'closure' > coef(ss) (Intercept) lactivoz varvolnegz 0.02571212 6.94227541

I have a dataframe with many firm-year observations and many variables. Not all firms have information for all the years. I want another dataframe with only those firms that have information all years. This is, I want a balanced panel data, but with the maximum number of years. In my reprocucible example I want to keep firms 1,2 and 3 (period 2000 to 2004). I need your help to create a

Hi everyone! I have this dataframe: firm<-c(rep(1,4),rep(2,4),rep(3,4),rep(4,4),rep(5,4),rep(6,4)) year<-c(rep(2000:2003,6)) industry<-c(rep(10,4),rep(20,4),rep(30,4),rep(10,4),rep(20,4),rep(30,4)) X1<-c(10,14,18,16,20,45,23,54,24,67,98,58,16,32,57,12,54,0,0,22,11,3,5,6) data<-data.frame(firm, industry,year,X1) data I need a loop that calculates the mean of X1 by year and by