similar to: still spss

hi, i can?t download a file in access. when i type: > library(foreign) > read.spss("H:\Desktop\bd1\experiencia1") comes the error: Error in read.spss("H:Desktop\bd1experiencia1") : unable to open file do you know what is the problem? can you help me? margarida,porto,portugal

Hi, I would like to read a spss file in R. When i type read.spss("...") Comes the error: couldn't find function "read.spss" What shall i do? Margarida [[alternative HTML version deleted]]

Hi, I have a data base in oracle and need to link R using ODBC. When i use the command odbcConnect a dsn is needed. I would like to create a dsn.Do you know how can i do it? Thank you. Margarida,Portugal

Hello, I??m trying to read data from a text file but i can??t When i print: > a<-read.table(file="C:/dados10.txt") The next error appears: Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file `C:/dados10.txt' Can you help me? Margarida PS:The operating sistem i??m using is Unix

Hi, I would like to do a MannWitney test. Can anyone help me with the propper command? Thanks, Margarida

Hello, Two lapply questions (system info and sample data below): 1) Why does the first form of command1 add the name of y _after_ the str() output rather than before as does the second (preferred) form? # command1 version1 invisible(lapply(ls(pattern='bn'), function(y) cat(y, "\n", str(get(y)), "\n") )) # command1 version2 (preferred output)

Good Morning, I am trying to create a new column of character strings based on the first two letters in a string in another column. I believe that I need to use some combination of ifelse and grep but I am not totally sure how to combine them. I am not totally sure why the command below isn't working. Obviously it isn't finding anything that matches my criteria but I am not sure why. Any

Dear all; What can be wrong with this simple example? library(boot) d1<-c(rnorm(10,mean=10)) fm<-function(d,i) mean(d[i]) bd1<-boot(d1,fm,10000) > Error: evaluation nested too deeply: infinite recursion / options(expressions=)? Thanks for any idea

Modern distributions are moving toward a common boot scheme called "The Boot Loader Specification". This patch enables syslinux to parse the drop-in files that are defined by this new specification. Link to documentation of the options added to syslinux by this patch: https://drive.google.com/uc?export=download&id=1nuRISVJeE1whYggFURywoQFpPzc6s1MC MD5 (syslinux-bls1.txt) =

Modern distributions are moving toward a common boot scheme called "The Boot Loader Specification". This patch enables syslinux's (vesa)menu.c32 modules to parse the drop-in files that are defined by this new specification. Link to The Boot Loader Specification: https://systemd.io/BOOT_LOADER_SPECIFICATION Link to demonstration bootdisk image (82MB gzipped):

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

After building and bfu''in the lastest ON build, any time I run a dtrace script I get a Seg Fault. Is there a dtrace for dtrace :) Doug root at prae> dtrace -n ''syscall::open*:entry { printf("%s %s",execname,copyinstr(arg0)); }'' Segmentation Fault (core dumped) root at prae> pstack core core ''core'' of 101364: dtrace -n

Hello, I am a beginner in R, and I wonder if anyone could help me with a partial least square regression in R. I have looked up the instructions and the manual from Bjorn Mevi and Ron Wehrens. However, I think I managed to write the script correctly, but I dont understand the output on the R environment, and also how to decide on the number of components to use (from the RMSEP), and also how to

Dear R Users on a self-written function for calculating maximum likelihood probability (plz check function code at the bottom of this message), one value, wden, suddenly jump to zero. detail info as following: w[11]=2.14 lnw =2.37 2.90 3.76 ... regw =1.96 1.77 1.82 .... wden=0.182 0.178 0.179... w[11]=2.14 lnw=2.37 2.90 3.76 ... regw =1.96 1.77 1.82 .... wden=0.182

Hi, look this: > summary(fam??lia) Anacardiaceae Annonaceae Bombacaceae Cecropiaceae 2 4 1 3 Chrysobalanaceae Clusiaceae Euphorbiacaea Fabacea 1 1 4 3 Fabaceae Flacourtiaceae Humiriaceae indeterminada

I'm using R 2.8.1 on Ubuntu 8.10. I'm writing partly to ask what's wrong, partly to tell other users who search that there is a work around. The General Social Survey is a long standing series of surveys provided by NORC (National Opinion Research Center). I have downloaded some years of the survey data in SPSS format (here's the site:

Dear list, I am running some zero inflated models and would like to know what the deviance of the models. Unlike running a normal GLM where the deviance is displayed in the summary all that is displayed in a summary of the zero inflated model is the log likelihood. I hope this isn't a read the manual question, and if it is I apologize for wasting your time, but if you could still send me a

Hey, R users I do not know how to describe my question. I am a new user for R and write the following?code for a dynamic labor economics?model and use OPTIM to get optimizations and parameter values. the following code does not work due to the?equation: ?? wden[,i]<-dnorm((1-regw[,i])/w[5])/w[5] where w[5]?is one of the parameters (together with vector a, b and other elements in vector

I'm trying to configure Squid ntlm autentication on Samba4 DC. I followed Squid and Samba's documentation and i got success when I login with user natalia.silva, but if I log with natalia.vaz i get the error -- Nat?lia Vaz Silva Administradora de redes

A couple of months ago, probably using an older version of R, R used to run the following code just fine: library("foreign") data.exp1 <- as.data.frame(read.spss("dataDef.sav")) Issuing the same commands now (after starting R using --vanilla), gives me the following behavior: > library("foreign") > x <- read.spss("dataDef.sav") Error