similar to: using a package function inside another function

Dear all, In the search for a command to insert a row between other rows in a data frame I found that there seems to be no such command in the base R package. There is however a very simple function insertRow in the micEcon package, that makes use of rbind. I wondered if it would not be possible to include the following micEcon functions in the base package: insertRow insertCol Since the

Dear all, In the search for a command to insert a row between other rows in a data frame I found that there seems to be no such command in the base R package. There is however a very simple function insertRow in the micEcon package, that makes use of rbind. I wondered if it would not be possible to include the following micEcon functions in the base package: insertRow insertCol Since the

Hello all, I am trying to use cbind to add a named empty column to a Matrix: outputmatrix <- cbind(outputmatrix,kog_id = seq(0,0,0)) The problem I have is that kog_id is a variable that has a value e.g. "KOG1234", but I when I try to use this to name the added column, it is named literally "kog_id" instead of "KOG1234". How can I name a column by passing in a

The "micEcon" package has been split into three packages: miscTools, micEconAids, and micEcon. a) miscTools (version 0.6-0) includes miscellaneous small tools and utilities that are not related to (micro)economics, e.g. colMedians(), rowMedians(), insertCol(), insertRow(), vecli(), symMatrix(), triang(), semidefiniteness(), compPlot(), and rSquared(). The miscTools package should depend

The "micEcon" package has been split into three packages: miscTools, micEconAids, and micEcon. a) miscTools (version 0.6-0) includes miscellaneous small tools and utilities that are not related to (micro)economics, e.g. colMedians(), rowMedians(), insertCol(), insertRow(), vecli(), symMatrix(), triang(), semidefiniteness(), compPlot(), and rSquared(). The miscTools package should depend

Hello all, I have generated a principal components regression model using the pcr() function from the PLS package (R version 2.12.0). I am getting a "non-conformable arguments" error when I try to use the predict() function on new data, but only when I try to read in the new data from a separate file. More specifically, when my data looks like this #########training data

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

Hello, Using the dse package I have estimated a VAR model using estVARXls(). I can perform forecasts using forecast() with no problems, but when I try to use simulate() with the same model, I get the following error: Error in diag(Cov, p) : 'nrow' or 'ncol' cannot be specified when 'x' is a matrix Can anyone shed some light on the meaning of this error? How can I

Full_Name: Ott Toomet Version: 2.6.0, 2.5.x OS: debian etch, lenny Submission from: (NULL) (80.235.63.243) When building a package with 'R CMD build name_of_directory" using "et_EE.UTF-8" locale, I get the following: siim at tancredi:~/tyyq/econ/micEcon$ R CMD build trunk * checking for file 'trunk/DESCRIPTION' ... OK * preparing 'trunk': * checking

Dear R users, I am new to R. I would like to find *maximum likelihood estimators for psi and alpha* based on the following *log likelihood function*, c is consumption data comprising 148 entries: fn<-function(c,psi,alpha) { s1<-sum(for(i in 1:n){(c[i]-(psi^(-1/alpha)*(lag(c[i],-1))))^2* (lag(c[i],-1)^((-2)*(alpha+1)) )}); s2<- sum(for(m in 1:n){log(lag(c[m],-1)^(((2)*alpha)+2))});

Hi guys, I need to insert a row to a matrix in a for loop. I have matrix named "Avg" which is a 5x4 matrix of zeros. I have a file named "A"(4 rows,14 columns) which I make a sample of it 5 times. each time I get the mean for each column and put the result in the "Avg" matrix. this is my code: Avg=matrix(0,5,4) > > for(i in 1:5){ + res=(A[sample(nrow(A),

Hello all, First off, I am using R version 2.13.0 in Ubuntu. I have read previous posts in the R mailing list on saving models for later use, and the responses indicate using the R save() function to save a model and then using load() to load it is one way to go. However, when I use the save() function to save a model to a file, and then try to load it using load(), the loaded "model"

Hi, I want to have a "vignette" in one of my R packages. Hence, I added an Sweave file into the /inst/doc subdirectory of this package. Unfortunately, 'R CMD check' gives a warning: ========================================== [...] * checking tests ... OK * checking package vignettes in 'inst/doc' ... WARNING --- f?hre texi2dvi auf Vignetten aus * creating

Hi, R core team I am using the function {aidsEst} in package [micEcon] to do an AIDS model now. So far, everything is good. But I want to test the auto correlation and heteroskedasticity of the individual equation from AIDS demand system. How can I return the individual equation? PS: serial correlation test is {bgtest} in package [lmtest] and heteroskedasticity is {bptest} in package

Hi, since nobody answered to my first message, I try to explain my problem more clearly and more general this time: I have a data set in my R package "micEcon", which has many variables (82). Therefore, I would like to avoid to describe all variables in the "\format" section of the documentation (.Rd file). However, doing this lets "R CMD check" complain about

Dear All, we (Ott Toomet and I) would like to add functions for maximum likelihood (ML) estimations of generalized tobit models of type 2 and type 5 (*see below) in my R package for microeconomic analysis "micEcon". So far we have called these functions "tobit2( )" and "tobit5( )". Are these classifications well known? How are these functions called in other

I''m trying to create a few menus using prototype.js "insert" function. I create a table using ''new Element("table")'', insert it in DIV and then add links - one row per link (or the other way round - create a full table, then insert it). I initially wrote a code that worked fine in Firefox, but did not in IE (currently testing with 6.0): function

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

Hi, I have used the heckit function in micEcon. Now I would like to evaluate the fit of the probit part of the model but when I enter AIC(sk$probit) I get this error Error in logLik(object) : no applicable method for "logLik" How can I then get the AIC for this model? Side question: If you know - from the top of your head - some link to readings dealing with evaluating the

Dear R People: Suppose I have the following: x <- 1:4 And I want to create the following matrix: 1 2 3 4 2 1 2 3 3 2 1 2 4 3 2 1 Is there a function in place for this, please? I looked at symMatrix in micEcon and some of the items in Matrix, but they didn't quite do it. I can put together something quickly, of course, but it seems likely that this would exist. Thanks, Erin --