similar to: Is there something wrong with R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"?

Displaying 20 results from an estimated 5000 matches similar to: "Is there something wrong with R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"?"

2014 Nov 22
3
R string comparisons may vary with platform (plain text)
A colleague?s R program behaved differently when I ran it, and we thought we traced it probably to different results from string comparisons as below, with different R versions. However the platforms also differed. A friend ran it on a few machines and found that the comparison behavior didn?t correlate with R version, but rather with platform. I wonder if you?ve seen this. If it?s not some
2013 Oct 25
2
problem with ldpaths
I've just installed r-base (several times!) using the instructions at http://cran.us.r-project.org/bin/linux/ubuntu/ and for some reason it is not creating a /etc/R/ldpaths file. I've tried a few times, tried purging, and removing everything in /etc/R and /usr/lib/R as suggested by Dirk, and reinstalling but still get $ R /usr/bin/R: line 236: /usr/lib/R/etc/ldpaths: No such file
2013 Oct 23
1
Error de markdownToHTML al parsear LATEX
No me ha funcionado, pero muchas gracias Daniel Merino. Al final he solucionado mi problema generando el HTML desde una máquina vertual Windows, como hacía Jorge Ayuso. Gracias a todos por la ayuda :) Elvira. > El 23/10/2013, a las 10:38, <miguel.angel.rodriguez.muinos en sergas.es> escribió: > > Hola Elvira. > > .. y ese comando te ha funcionado???? > :-) > >
2013 Oct 30
2
Huge performance difference between implicit and explicit print
Hi all, Can anyone help me understand why an implicit print (i.e. just typing df at the console), is so much slower than an explicit print (i.e. print(df)) in the example below? I see the difference in both Rstudio and in a terminal. # Construct large df as quickly as possible dummy <- 1:18e6 df <- lapply(1:10, function(x) dummy) names(df) <- letters[1:10] class(df) <-
2013 Oct 17
1
pamer.fnc y la nueva versión de R
Hola buenas noches, tengo un problema bastante gordo. ¿A alguno le ha dejado de funcionar las funciones pamer.fnc y mcp.fnc con la nueva versión de R? La semana pasada formatee el ordenador y ahora scripts antiguos no funcionan. La cuestión es que me precupa que no funcione el ejemplo de tutorial del autor. Os dejo un script que debería de funcionar y no lo hace
2007 Apr 23
8
exec resources
I am consistently getting the following error from puppetd when an exec resource is triggered by a refresh event: Apr 23 10:36:11 mailhub puppetd[37884]: Reopening log files Apr 23 10:36:11 mailhub puppetd[37884]: Starting Puppet client version 0.22.3 Apr 23 10:36:11 mailhub puppetd[37884]: Starting configuration run Apr 23 10:36:12 mailhub puppetd[37884]:
2010 Dec 14
1
Significance Help
I have a set of results where I have the eyesight power of both left and right eyes for each participant (e.g. 0.75, 0.5). Each participant then had to throw basketballs into a hoop and the number of successful throws was recorded. I would like to do two things: 1. Test whether the eyesight power of the left and right eyes are significantly different from each other. 2. Test whether the number
2008 May 09
1
Which gls models to use?
Hi, I need to correct for ar(1) behavior of my residuals of my model. I noticed that there are multiple gls models in R. I am wondering if anyone has experience in choosing between gls models. For example, how should one decide whether to use lm.gls in MASS, or gls in nlme for correcting ar(1)? Does anyone have a preference? Any advice is appreciated! Thanks, -- Tom [[alternative HTML
2008 Apr 29
2
function to generate weights for lm?
Hi, I would like to use a weighted lm model to reduce heteroscendasticity. I am wondering if the only way to generate the weights in R is through the laborious process of trial and error by hand. Does anyone know if R has a function that would automatically generate the weights need for lm? Thanks, -- Tom [[alternative HTML version deleted]]
2007 Dec 31
3
stack charts right on top of each other
Hi, I tried to stack two charts on top of each other using the following R functions: par(mfrow=c(2,1)) plot(rnorm(1:3),xaxt="n",xlab="") plot(rnorm(1:3)) This created two charts, one on top of the other, but there is too much space between them. Does anyone know how to elimiate the space in between the charts? Thanks, -- Tom [[alternative HTML version deleted]]
2006 Oct 21
2
how do I find the row index number, or row name, of a given value in a vector?
Hi, I noticed that max(x) returns the maximum value of a vector, but the function doesn't give the user the option of retrieving the row index number instead. If I used max(x) to find the maximum value of vector x, then is there a function I can use to find the index number, or row name, of the maximum value? Thanks, Tom [[alternative HTML version deleted]]
2007 Dec 01
2
R function for percentrank
Hi, Does anyone know if R has a built-in function that is equvalent to Excel's percentrank, i.e., returns the rank of a value in a data set as a percentage of the data set? Thanks, -- Tom [[alternative HTML version deleted]]
2008 Mar 09
2
format numbers into percentages
Hi, I am currently using the following to formate numbers into percentages: x=0.00112 paste(round(x*100,2),"%",sep="") I am wondering if there is a built in R function that does the same. Does anyone know? Thanks, -- Tom [[alternative HTML version deleted]]
2008 Jan 04
2
question about scale() function
Hi, The documentation for scale() states:"If center is TRUE then centering is done by subtracting the column means (omitting NAs) of x from their corresponding columns". But it seems that R is subtracting something else instead of the column mean: > x=c(2,4,3,4,5) > mean(x) [1] 3.6 > x-mean(x) [1] -1.6 0.4 -0.6 0.4 1.4 > scale(x) [,1] [1,] -1.4032928 [2,]
2006 Nov 01
4
Problem with data type recognition and conversion
Hi, I have a CSV file with two columns; the first column is date, second column is numbers. I used read.csv() to load the file into the variable temp. Somehow, R could not recognize my numbers as double. Instead, it thinks these numbers are integer even though they all have decimal points (isn't that strange?). The problem I ran into is that if I tried to convert the numbers to double using
2006 Oct 19
2
use date as x-axis
Hi, I have the following data in two columns. The first column is the date, the second is data. Date Data 3-Jan-95 459.21 4-Jan-95 459.13 5-Jan-95 460.73 6-Jan-95 460.38 9-Jan-95 460.67 10-Jan-95 460.9 11-Jan-95 461.68 12-Jan-95 461.64 13-Jan-95 461.64 16-Jan-95 465.97 17-Jan-95 469.38 18-Jan-95 470.05 19-Jan-95 469.72 20-Jan-95 466.95 23-Jan-95 464.78 24-Jan-95 465.81 25-Jan-95 465.86 I would
2008 May 07
2
cross-correlation lag.plot?
Hi, Does anyone know if R has a function that is similar to lag.plot but instead of auto-correlation, it plots cross-correlation with lags? Thanks, -- Tom [[alternative HTML version deleted]]
2018 Jan 10
3
1600x900 not available
My laptop is a Dell XPS-13 running CentOS 7.? It has a 13" 1920x1080 screen and it's a bit difficult for my mid-40s eyesight.? Fedora and Debian, on this laptop, give me the option of choosing 1600x900 which is much easier for me to read but CentOS doesn't show this resolution as available. I followed the steps I found in a post on stackexchange using xrandr, substituting
2008 Apr 07
2
How to add background color of a 2D chart by quadrant
Hi, I have a 2D chart that is divided into four quadrants, I, II, III, IV: plot(1:10,ylim=c(0,10),xlim=c(0,10),type="n") abline(v=5,h=5) text(x=c(7.5,7.5,2.5,2.5),y=c(2.5,7.5,7.5,2.5),labels=c("I","II","III","IV")) I would like to fill each quadrant with a background color unique to the quadrant. Does anyone know how to do this in R? Thanks, --
2008 Jan 23
3
How to do more advanced cross tabulation in R?
Hi, I am trying to reproduce some functionalities of Excel pivot table in R, sadly, I couldn't figure out how to do it. I am wondering if this is even possible in R. Does anyone know? Here is an example: year=rep(2003,16) quarter=rep(1:4,each=4) sales=1:16 company=rep(c("a","b","c","d"),4) df=data.frame(year,quarter,sales,company) #this is the