similar to: an operator for "contains"

Hi, I was really happy when I saw that in R version 2.3.0 "R CMD check" works for packages whose package name is different from the directory name in which it is located (see http://cran.r-project.org/src/base/NEWS). Now, I can have branches of my packages in directories like "[...]/branches/<version number>/", while I had to use "[...]/branches/<version

Hello to everyone, I have 2 problems and would be very pleased if anyone can help me: 1) When I use the package "systemfit" for SUR regressions, I get two different variance-covariance matrices when I firstly do the SUR regression ("The covariance matrix of the residuals used for estimation") and secondly do the OLS regressions. In the manual for "systemfit" on page

Hi, I have a vector, which contains both strings and numbers, e.g. > foo <- c("str1",1234,"str2",0.9876) I want to know if a distinct element of the vector is a string or a number and took "is.numeric", but > is.numeric(foo[2]) [1] FALSE because R treats the numbers in a mixed vectors as strings: > foo [1] "str1" "1234"

Is there a package in R that handles general linear (in-)equality + box constrained optimization? If it is not there, could anyone advise me which way to go? And/or point me to packages that solve these problems partially? best, ingmar -- Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15, 1018 WB Amsterdam The Netherlands http://users.fmg.uva.nl/ivisser/ tel:

Hi, I have a dataframe (say myData) and want to get a list (say myList) that contains a matrix for each row of the dataframe myData. These matrices are calculated based on the corresponding row of myData. Using a for()-loop to do this is very slow. Thus, I tried to use apply(). However, afaik apply() does only return a list if the matrices have different dimensions, while my matrices have

Hi there, I need to plot an illustrative figure without ticks, x, y labels in R. I managed to get the ticks removed, but had no luck with x, y labels. Any suggestions would be much appreciated. Jin Li [[alternative HTML version deleted]]

Dear R Users: The functions of our "micEcon" package [1,2] can be subdivided into three categories: - microeconomic demand and firm models - sample selection models (mainly selection()) - routines for (likelihood) maximisation (e.g. maxLik(), maxNR(), maxBHHH()) (mainly used for ML estimation of sample selection models) Although sample selection models are often used in

Full_Name: Arne Henningsen Version: 2.3.0, 2005-11-21, i686-pc-linux-gnu OS: SuSE Linux 9.0, Kernel 2.4.21 Submission from: (NULL) (134.245.140.242) I did not find any problems in "./configure" and "make", but "make check" fails: make[4]: Entering directory `/home/suapm095/Download/R-devel/tests/Examples' collecting examples for package 'base' ...

Hello I know how read a file in excel format into a R data frame using the RODBC library, but I don't know how write a R data frame in excel format. I don't understand the instructions from RODBC user manual. To read an excel file I use. library(RODBC); conex<-odbcConnectExcel("fis_quim.xls"); sqlTables(conex); data<-sqlFetch(conex,"hoja1"); Suppose I

Dear All, I would like to publish a function for 'heckit' estimations together with two examples from Greene's and Wooldridge's econometric textbooks. These examples use the dataset of Mroz (1987) that is also available in John Fox' "car" package. However, not all variables that are used in my examples are available in the "car" package. Therefore, I

Hi, I added a new function "predict.systemfit" to our package "systemfit" to make it closer to other packages (e.g. lm). Now "R CMD check" complains that the generic function "predict" has only the argument "object", while our function "predict.systemfit" has more arguments. However, the function "predict.lm" has also more

Hi there fellow R-users, Im seeing some strange behaviour when I multiply a vector by a matrix Here is my script: > tr 1 2 3 4 5 6 0.2217903 0.1560525 0.1487908 0.1671354 0.1590643 0.1471667 > > ex1 a b c d e f 1 0.2309579 -3.279045 -0.6694697 -1.1024404 0.2303928 -1.5527404 2

I'd like to model the relationship between m responses Y1, ..., Ym and a single set of predictor variables X1, ..., Xr. Each response is assumed to follow its own regression model, and the error terms in each model can be correlated. My understanding is that although lm() handles vector Y's on the left-hand side of the model formula, it really just fits m separate lm models. What should

I am confused by the following description in http://www.maths.lth.se/help/R/.R/library/systemfit/html/hausman.systemfit.html what does the "Not run" mean? if we do not load systemfit, how can we run the following code? ## Not run: library( systemfit ) data( kmenta ) attach( kmenta ) ... I install the package of systemfit, and run the code. I got the warning: > library( systemfit

Hello folks, I am trying to estimate the two-step Heckman regression model. I would like to make an adjustment for intragroup correlations. Stata can implement this with the "cluster" option, but I am really hoping to stick with R. It seems that the micEcon package is the primary source for this two-step regression model (i.e., heckit), but I can't find a way to make the

-----Ursprüngliche Nachricht----- Von: Wildi Marc, wia Gesendet: Mittwoch, 18. August 2004 10:11 An: r-help@lists.R-project.org Betreff: Hi Does anybody know from an R-package devoted to sample selection problems (Heckman's lambda, Lewbel, ...)? Thanks and best regards Marc Wildi [[alternative HTML version deleted]]

Hi there fellow R users, Has anyone got an R example of applying an Ideal demand system, possibly using the library systemfit?? Thanks Wayne Dr Wayne R. Jones Senior Statistician / Research Analyst KSS Limited St James's Buildings 79 Oxford Street Manchester M1 6SS Tel: +44(0)161 609 4084 Mob: +44(0)7810 523 713 KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street

Dear all, I am trying to find a solution satisfying the below equations in R. Set up the problem 9 X1+ X2 + X3 = 2 X1+ X2 + X3 = 1 which is subjected to 0 < X1 < X2 < X3 < 2. I have downloaded the packages \'linprog\' and \'lpSolve\' but can not see how to solve the question. Thank you for your help. With

How does one specify the weights for WLS in the systemfit command ? That is, there is a weight option in lm(), but there doesn't seem to be weight option for systemfit("WLS") Thanks!

Is there a way I can combine multiple lines of R commands (see below) into a little code snippet or a program in a text file, and run it in R to do my analysis? sink("mysink.txt") for (......) { code for creating a dataframe from supplied data code for doing anova from selected data } Thanks very much. Karth.