[R] cum sums
Suppose I have a dataframe beginning: id yr val a 1950 1 b 1950 10 a 1951 2 I'm trying to produce a table of cumulative sums of val, disaggregated by id and then yr, so the result should begin id yr cumval a 1950 1 a 1951 3 b 1950 10 I've been trying to do this using aggregate and passing the function cumsum, but I can't get it to work. Can someone tell me how to do this? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] subset of factors in a regression
suppose state is a variable in a dataframe containing abbreviations of the US states, as a factor. What I'd like to do is to include dummy variables for a few of the states, (say, CA and MA) among the independent variables in my regression formula. (This would be the equivalent of, creating, eg, ca-state==CA) and then including that). I know I can create all the necessary dummy variables by using the outer function on the factor and then renaming them appropriately; but is there a solution that's more direct, ie that doesn't involve a lot of new variables? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] spdep::poly2nb problem
I downloaded a US states+territories shapefile from http://www.weather.gov/geodata/catalog/national/html/us-state.htm and unzipped it into my working directory. Then in R (version 12.2.0 for ms-win32): library(rgdal) # Version: 0.6-28 library(spdep) # Version: 0.5-24 (loads sp: Version: 0.9-72) # read in the data states-readOGR(.,s_01de10) summary(states) # now create a neighbors list states_nb-poly2nb(states) # create a 0/1 matrix of the neighbors nb_mat-nb2mat(states_nb,style=B,zero.policy=TRUE) # add names nms-as.character(states$NAMES) # set the matrix names dimnames(nb_mat)-list(nms,nms) # now see which states have no neighbors rowSums(nb_mat) # it turns out that Florida seems to have zero neighbors. I then repeated it with states_nb-poly2nb(states,useC=FALSE) and this time -- the computation takes a lot longer, of course --- Florida has 2 neighbors (correctly: AL and GA). Can anyone tell me what's going wrong here? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] makign help files by hand
Can someone tell me how to make up (eg) a library's html help files by hand? I think I ought to be able to use RCMD Rdconv for this but (R-2.10.0, MS-win) when I type (in a dos session) rdcmd rdconv --help I get a message to the effect that a perl script rdconv can't be opened. Can I do this from within R itself? And if so, how (in particular, what is the target file to be converted)? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] convenience question
On: R 2.8.1 / Ms Windows / R-Gui-R-console I have a long-ish function, and to re-assure myself that it's actually making progress I've arranged a set of messages to the console (using cat). But what happens is that the messages don't actually display until the function has finished, which sort of negates the purpose. However, if I hit Return after starting the function, then all is well. I'm pretty sure that what's happening is that the function isn't yielding time to the operating system in order that messages be processed: so my question is, is there any way to do that within the function? Or maybe, to simulate the Return keystroke? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] customizing RGui/Rconsole
Is it possible to change the behavior of RGui/RConsole under MS Windows so that, if you submit a bunch of commands from a script window, when they've finished, focus is given to the Console, and not (as now) to the script? Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] printing a dataframe summary to disk
I'd like to write the summary of a dataframe to disk, so that it looks essentially the same as what you'd see on screen; but I can't seem to do it. Can someone tell me how? Thanks! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] R2winbugs : vectorization
Many thanks to all responders. It turns out that there is a winbugs update available, which defines a new version of inprod, inprod2. Using inprod2 the vectorized code runs in about the same time as the scalar version. On the print problem: the issue here turns out to be that the arm package (or one of the packages it loads) resets digits to 2. So the solution is to reset digits ( options(digits=5) or whatever) after loading your packages. Thanks again! Philip A. Viton City Planning, Ohio State University 275 West Woodruff Avenue, Columbus OH 43210 vito...@osu.edu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] R2winbugs : vectorization
I'm new to bugs, so please bear with me. Can someone tell me if the
following two models are doing the same thing? The reason I ask is
that with the same data, the first (based on 4 separate coeffs
a1--a4) takes about 50 secs, while the second (based on a vectorized
form, a[]) takes about 300. The means are about the same, though
R-hat's in the second version are quite a bit better.
(Also, and completely unrelated: is there any way to get more than 2
decimal places in the display of the means?)
Thanks!!
Here are the two models: (these are censored regressions, the first
is essentially a copy of code in Gelman+Hill):
= model 1 : 4 separate a's
model{
for (i in 1:n){
z.lo[i]- C * equals(y[i],C)
z[i]~dnorm(z.hat[i],tau.y)I(z.lo[i],)
z.hat[i]-a1*x[i,1]+a2*x[i,2]+a3*x[i,3]+a4*x[i,4]
}
a1~dunif(0,100)
a2~dunif(0,100)
a3~dunif(0,100)
a4~dunif(0,100)
tau.y-pow(sigma.y,-2)
sigma.y~dunif(0,100)
}
== model 2 : vector of a's
model{
for (i in 1:n){
z.lo[i]- C * equals(y[i],C)
z[i]~dnorm(z.hat[i],tau.y)I(z.lo[i],)
z.hat[i]-inprod(a[],x[i,])
}
for (j in 1:k){
a[j]~dunif(0,100)
}
tau.y-pow(sigma.y,-2)
sigma.y~dunif(0,100)
}
and here, for reference, is the R calling code:
x-as.matrix(iv)
y-dv
C-cens
z-ifelse(y==C,NA,y)
n-length(z)
data1-list(x=x,y=y,z=z,n=n,C=C)
inits1-function(){
list(a1=runif(1),a2=runif(1),a3=runif(1),a4=runif(1),sigma.y=runif(1))}
params1-c(a1,a2,a3,a4,sigma.y)
## now the bugs call for model 1
proc.time()
aasho.1-bugs(data1,inits1,params1,aasho1.bug,n.iter=1,debug=FALSE)
proc.time()
print(aasho.1,digits=4)
now we try a vector approach
k-4 # niv
data2-list(x=x,y=y,z=z,n=n,C=C,k=k)
inits2-function(){
list(a=runif(k),sigma.y=runif(1))}
params2-c(a,sigma.y)
## now the bugs call for model 2
proc.time()
aasho.2-bugs(data2,inits2,params2,aasho2.bug,n.iter=1,debug=FALSE)
proc.time()
print(aasho.2,digits=6)
Philip A. Viton
City Planning, Ohio State University
275 West Woodruff Avenue, Columbus OH 43210
vito...@osu.edu
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
