similar to: Warning message: In scan(file, what, nmax...)

Dear R-users, I have som troubles with .sav file. How is it possible for us R-users to read SPSS files. I know that is possible, I tried the following: > library(foreign) > Corp<-read.spss("/Users/kama/Analysis/Corporation.sav", header=TRUE, > sep=",") Error in read.spss("/Users/kama/Analysis/Corporation.sav", header = TRUE, : unused

Well, you won't like this, but it is kind of wimpily (is that a word?) documented: If you check the code of factor(), you will see that nmax appears as an argument in a call to unique(). ?unique says for nmax, "... see duplicated" . And ?duplicated says: "If nmax is set too small there is liable to be an error: nmax = 1 is silently ignored." So sometimes you get an error

Dear all, I was playing around with factor contrasts, and found the argument nmax on function factor. When using nmax=1, R froze completely, and I had to close it from task manager. After some debugging, I found that the problem is actually in unique-function, where the internal unique function is called: .Internal(unique(x, incomparables, fromLast, nmax)) More generally, it looks like

I have been trying to understand how the argument 'nmax' works in 'factor' function. R-Documentation states - "Since factors typically have quite a small number of levels, for large vectors x it is helpful to supply nmax as an upper bound on the number of unique values." In the code below what is the reason for error when value of nmax is 24. Why did the same error not

I'll go just a bit "fer-er." It appears the anomaly -- I hesitate to call it a bug -- is in the C code for duplicated.default(): > duplicated(letters[1:10],nmax=10) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=9) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=8) ## for

Hey, I am having problems with importing a csv file to R. I could read the file by typing: read.csv(file="/Users/kama/Desktop/skatter.csv", header=TRUE, sep=";") However, i can not analyze the "skatter" - for ex, when i type: skatter = read.csv("skatter.csv") i get this message: Error in file(file, "rt") : cannot open the connection

Hi, I have two tables: > iso continent code code3 codenum country 1 EU AD AND 20 Andorra, Principality of 2 AS AE ARE 784 United Arab Emirates 3 AS AF AFG 4 Afghanistan, Islamic Republic of 4 NA AG ATG 28 Antigua and Barbuda 5 NA AI AIA 660

Hey, I am having some problems with importing a csv file into R and then saving it for analyzing. I got a csv file ( skater.csv) which i could read by typing: read.csv(file="/Users/kama/Desktop/skatter.csv", header=TRUE, sep=";") However, when i enter: skatter.csv<-read.csv("skatter.csv", header=TRUE) i get this message: Error in file(file,

> gather(pobla, key = year, value = totpop, year60:year63) Country year totpop 1 Afghanistan year60 8996351 2 Albania year60 1608800 3 Algeria year60 11124888 4 Andorra year60 13411 Gracias Carlos Antonio On Tue, 19 Feb 2019 at 12:54, Carlos Ortega <cof en qualityexcellence.es> wrote: > Sí, tienes varias formas. > > Mira la función

Hi, my company have just bought new network and I have question about one problem. As in topic we must use few completely different dsl''s and balance traffic between them. 2M/0,5M 4Mb/0,5M 8M/0,5M M=Mb/s I''ve never done such thing before so I have doubts how it will work. If the links are symmetric 2/2 4/4 8/8 there is no problem because with weights I can compensate the

Después del "gather()" puedes hacer un "arrange()" que es una ordenación. Y dentro de "arrange()" le indicas la variable por la que ordenas (no hacen falta comillas)... Lo ordenará alfabéticamente. Saludos, Carlos Ortega www.qualityexcellence.es El mar., 19 feb. 2019 a las 13:47, Antonio Rodriguez Andres (< antoniorodriguezandres70 en gmail.com>) escribió:

I have no experience with incorporating Fortran code and am probably doing something pretty stupid. I want to use the following Fortran subroutine (not written by me) in the file SSFcoef.f subroutine SSFcoef(nmax,nu,A,nrowA,ncolA) implicit double precision(a-h,o-z) implicit integer (i-n) integer l,i,nmax double precision nu,A(0:nmax,0:nmax) A(0,0) =

I have no experience with incorporating Fortran code and am probably doing something pretty stupid. I want to use the following Fortran subroutine (not written by me) in the file SSFcoef.f subroutine SSFcoef(nmax,nu,A,nrowA,ncolA) implicit double precision(a-h,o-z) implicit integer (i-n) integer l,i,nmax double precision nu,A(0:nmax,0:nmax) A(0,0) =

Tengo que preparar un Dataset que termine siendo un resumen de cuenta contable a partir de los datos del diario contable de una empresa que el script va filtrando cuenta por cuenta. He podido importar los datos con variables: fecha , concepto, valor debe, valor haber y me falta una variable que sea el saldo. Sucede que el saldo se tiene que calcular fila a fila, es decir sumando el valor debe y

Hi, I am looking for an efficient way of skipping big chunks of lines on a connection (not necessarily at the beginning of the file). One way is to use read lines, e.g. readLines(1e6), but a) this incurs the overhead of construction of the return char vector and b) has a (fairly remote) potential to blow up the memory. Another way would be to use scan(), e.g. scan(con, skip=1e6, nmax=0)

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Hi, I was hoping someone could help me with this problem. I’m trying to produce what can be referred to as L’Abbe plots, where a character (my preference is a circle) is plotted at some specified co-ordinates and the size of the character is proportional to a weighting variable. I’ve tried this plot (x, y, type="n") size <- weight/mean(weight) for ( i in 1:length(x) ) { points

hi, I want to know just enter a string value entering a numeric value is make with the function scan () or scan (nmax = ..) but it does not work for string my goal is to enter three string: name and surname and date of birth I try with this code but it shows me errors print ("enter the name") name <- scan (nmax = 1) print ("enter the first name") firstName <- scan

Dear people, I'm trying to do some analysis of a data using the models by Royle & Donazio in their fantastic book, particular the following function: http://www.mbr-pwrc.usgs.gov/pubanalysis/roylebook/panel4pt1.fn that applied to my data and in the console is as follows: > `desman.y` <- structure(c(3L,4L,3L,2L,1L), .Names = c("1", "2", "3",

I have some compiled code that works under winXp but not under linux (kernel 2.6.10-5). I'm also using R 2.1.0 After debugging, I've discovered that in this code: #define NMAX 256 long **box; ... box = (long **)R_alloc(NMAX, sizeof(long *)); //<---HERE THE SIGSEGV for (i=0; i<NMAX; i++) box[i] = (long *) R_alloc(NMAX, sizeof(long)); inside the *first* call to the