similar to: Trouble passing list or non-list to function using ...

Displaying 20 results from an estimated 700 matches similar to: "Trouble passing list or non-list to function using ..."

2006 Jun 29
3
advice on arguments
I have a general style question about R coding. Suppose I'm writing a function (foo1) that calls other functions (foo2, foo3, ...) which have complicated argument lists (e.g. optim(), plot()), _and_ I may be calling several different functions in the body of foo1. Since foo2 and foo3 have different sets of arguments, I can't just use "..." ; I did write some code a while ago
2009 May 22
2
Step by step: Making an R package with Fortran 95
To all. I need your help. The big question is: How do I make an R library with Fortran 95 files? You may assume that I am a pretty decent programmer in both R and Fortran. I lay out a scenario and need your help! I know how to make an ordinary R package and have dabbled with R + Fortran 95 *.dll linking. I do not have a great handle on the whole Makevars file and whatever else I might need
2008 Jan 15
2
Looking for simpler solution to probabilistic question
Hi I have two processes which take with a certain probability (p1 and p2) x number of years to complete (age1 and age2). As soon as thge first process is completed, the second one begins. I want to calculate the time it takes for the both processes to be completed. I have the following script which gives me the answer, butI think there must be a more elegant way of doing the calculations
2012 May 03
1
deparse(substitute(x)) on an object with S3 class
Dear list, can someone explain to me why deparse(substitute(x)) does not seem to work when x is of a user-defined S3 class? In my actual problem, my print method is part of a package, and the method is registered in the NAMESPACE, if that should make a difference. > print.testclass <- function(x,...){ xname <- deparse(substitute(x)) cat("Your object name
2002 Nov 26
1
Reshape by multiple variables
Dear list I'm using the reshape command and want to reshape a wide data set to a long one e.g. I have the variables y1,y2,y3,age1,age2,age3,sex,ethnic I want my new long data set to consist of the variables y (which has been created from y1,y2,y3), age (which has been created from age1,age2,age3), sex and ethnic I have tried to use the command:
2006 Dec 01
1
Box Tidwell / Error Message
Dear R-Users, I used the box.tidwell () function of the car Package. When I used the following formula: semi.sub.in.mi1.boxtidwell_h<-box.tidwell(RENT_LG ~ I(age+1)+I(age2+1)+X06A + I(X08B+1) + I(X22+1) + I(X24+1) + X31A, ~B_YEAR + C_X01 + C_X14 + C_X19 + C_X29A +C_X21 + C_X23 + D_X12 + D_X17 + D_X18 + D_X25 + D_X27 + D_X30 + D_X32 + D_X35, data = semi.sub.in.mi1) everything is
2010 Feb 17
1
Ordered Logit in R
I'm trying to run an ordered logistic regression model. I've run the following code, but the output does not provide the p-values. Is there some command to include the p-values in the output. reg2 <- polr(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 + employment2 + union2 + home2 + market2 + race2 + income2) summary(reg2) Re-fitting to get Hessian# Call:
2002 Jul 11
1
nls() singular graident matrix error
R-helpers; I used Proc Model in SAS to fit the following model to data: proc model data = dbsmv; a = a1*F**2; b = b1*F + b2*T + b3*F*T; tph2 = tph1 *((1 - exp(-a*age2)) / (1 - exp(-a*age)))**-b; fit tph2; and yielded the following estimated parameters after iterations: a1 = -0.15943, a2 = -1.8177, b1 = -0.01911, b2
2003 Apr 18
1
Help with nlme--freq weights, logit model, and more
Below you will find the output from a failed multi-level model run. I am trying to estimate the following model: Pr(PLFP=1)= logistic regression -> B1_j * bm + B2_j * wm + B3_j bf + B4_j wf + B5 yrsed+ B6 age+ B7 age^2+e_ij B1_j = G01 + G11 bmxd + d1 B2_j = G02 + G12 wmxd + d2 B3_j = G03 + G13 bfxd + d3 B4_j = G04 + G14 wfxd + d4 d1-d4 freely correlated Note that there is no
2007 Jan 15
2
[LLVMdev] llc c backend can produce code that doesn't compile on gcc 4.x
Hello, I would like to ask the llvm developers to have a look at http:// llvm.org/bugs/show_bug.cgi?id=918 . This bug has been reported 4 month ago but is none the less a somewhat serious one. Below I have pasted the test case and output of the issue running on my ppc machine. thank you Eric pb:~ eric$ cat testme.ll;llvm-as -f testme.ll;llc -march=c -f testme.bc;gcc -c testme.cbe.c
2013 Jan 10
1
Semi Parametric Bootstrap
Greetings to you all, I am performing a semi parametric bootstrap in R on a Gamma Distributed data and a Binomial distributed data. The main challenge am facing is the fact that the residual variance depends on the mean (if I am correct). I strongly feel that the script below may be wrong due to mean-variance relationship #####R code####### fit1s
2011 Oct 22
3
Wine 1.3.31 fails to compile in git
I tested also with a clean git source. Something wrong with ole32. Code: -fPIC -Wall -pipe -fno-strict-aliasing -Wdeclaration-after-statement -Wempty-body -Wstrict-prototypes -Wtype-limits -Wwrite-strings -fno-omit-frame-pointer -Wpointer-arith -Wlogical-op -I/usr/include/freetype2 -g -O2 -U_FORTIFY_SOURCE -D_FORTIFY_SOURCE=0 -o tmarshal_i.o tmarshal_i.c
2008 May 12
1
Standard error of combination of parameter estimates
Hi, Is there a simple command for computing the standard error of a combination of parameter estimates in a GLM? For example: riskdata$age1 <- riskdata$age riskdata$age2 <- ifelse(riskdata$age<67,0,riskdata$age-67) model <- glm(death~age1+age2+ldl, data=riskdata,family=binomial(link=logit)) And we want to find the standard error of the partial linear predictor for
2010 Apr 23
1
help with plotting lines linking two sets of points?
Hello everyone, I'm trying to plot the initial and final size of some tadpoles and look at their growth rates (slope of line). They are divided into 6 densities, and so far I have plotted the initial and final sizes (these are means for a pool), and color coded for the 6 densities, but I want a line to connect the initial and final value for each pool (also color coded by density). Any ideas?
2008 Nov 06
3
unlist & dataframes
Dear all, I would like to know whether it is possible to unlist elements and keep the original format of the data. To make it more clear, let me give an exemple: I have a list l of dataframes that I created with apply but which looks like this: x1=data.frame(Name=LETTERS[1:2],Age=1:2) x2=data.frame(Name=LETTERS[3:4],Age=3:4) l=list(x1,x2) l [[1]] Name Age 1 A 1 2 B 2 [[2]] Name
2011 Nov 10
2
Removing numbers from a list
I am using gsub to remove numbers for each element of a list. Code is given below. testList <- list("this contains a number 1000","this does not contain") removeNumbers <- function(X) { gsub("\\d","",X) } outputList <- lapply(testList,removeNumbers) However, when I try to find the number of words in outputList as follows
2010 Jan 15
4
transposing a list of vectors
I have a list of vectors, all forced to be the same length: testlist <- list( shape=c(0, 0, 2), cell.fill=c("red","blue","green"), back.fill=rep("white",3), scale.max=rep(100,3) ) > str(testlist) List of 4 $ shape : num [1:3] 0 0 2 $ cell.fill: chr [1:3] "red" "blue" "green" $ back.fill: chr [1:3]
2007 Aug 30
2
define-based exported virtual resources
Can you use exported virtual resources with custom definitions? As an example, with the following definition: define vr-tester() { file { "/tmp/vr-success.txt": content => ''foobar''; } } this code is working for me: class testme { @vr-tester { "foobar": ; } Vr-tester <||> } but this is not: class testme {
2011 Oct 05
1
calling a variable which in turn calls many more variables
Hi all, I am running regressions with many covariates, most of which remain the same each time (control variables). Instead of writing 30 demographic variables every regression, is there a way I could call them all at once using a variable called, perhaps "demog"? I have tried: > demog <- list(age1, age2, age3) but I get an error when I try to call a list in a regression. I also
2005 Aug 12
2
coercing created variables into a new data frame using na.omit()
Hi, I am an R newbie and one thing I am having trouble with binding variables that I have created within one data frame into a new data frame when using na.omit(). To illustrate this problem I will give the example I am working on and the approah I have been using:- data.frame1<-filepath.... attach(data.frame1) #create a new variable using a function new.variable<-rep(1,length(weight3))