search for: i02

Hi all, hope someone can help me out with this. Background Introduction I have a data set consisting of data collected from a questionnaire that I wish to validate. I have chosen to use confirmatory factor analysis to analyse this data set. Instrument The instrument consists of 11 subscales. There is a total of 68 items in the 11 subscales. Each item is scored on an integer scale between 1 to 4.

...Domain Users 18723 jims (10.0.0.207) Wed Mar 26 16:02:16 2003 Locked files: Pid DenyMode Access R/W Oplock Name -------------------------------------------------------------- 4320 DENY_NONE 0x20089 RDONLY EXCLUSIVE+BATCH /apps/Lacerte/02tax/ind/usoutput.i02 Sat Mar 29 18:01:46 2003 4320 DENY_NONE 0x20089 RDONLY EXCLUSIVE+BATCH /apps/Lacerte/02tax/OPTION02/OPT019.W2 Sat Mar 29 18:01:45 2003 4320 DENY_NONE 0x20089 RDONLY NONE /apps/Lacerte/02tax/opdata.w2 Fri Mar 28 17:37:05 2003 4320 DENY_ALL 0x2019f RDW...

Hello list, I'm following the paper (http://www.jstatsoft.org/v27/i02/paper) on how to use "plm" to run panel regressions, and am having trouble with what I believe should be something very basic. When I run the command (p.9 in the paper): R> dynformula(emp~wage+capital,log=list(capital=FALSE,TRUE),lag=list(emp=2,c(2,3)),diff=list(FALSE,capital=TRUE))...

Dear list, I am trying to replicate an econometrics study that was orginally done in Stata. (Blanton and Blanton. 2009. A Sectoral Analysis of Human Rights and FDI: Does Industry Type Matter? International Studies Quarterley 53 (2):469 - 493.) The model I try to replicate is in Stata given as xtpcse total_FDI lag_total ciri human_cap worker_rts polity_4 market income econ_growth log_trade

Dear useRs, version 2.2-2 of the "betareg" package has just been released on CRAN http://CRAN.R-project.org/package=betareg accompanied by an article in the Journal of Statistical Software http://www.jstatsoft.org/v34/i02/ The package provides beta regression for data in the unit interval (0, 1) such as rates and proportions. The manuscript replicates several practical applications from econometrics and psychometrics. Best wishes, Z _______________________________________________ R-packages mailing list R-packa...

Dear r-helpers, I am working with plm package. I am trying to fit a fixed effects (or a 'within') model of the form y_it = a_i + b_i*t + e_it, i.e. a model with an individual-specific intercept and an individual- specific slope. Does plm support this directly? Thanks in advance! Otto Kassi

Dear useRs, version 2.2-2 of the "betareg" package has just been released on CRAN http://CRAN.R-project.org/package=betareg accompanied by an article in the Journal of Statistical Software http://www.jstatsoft.org/v34/i02/ The package provides beta regression for data in the unit interval (0, 1) such as rates and proportions. The manuscript replicates several practical applications from econometrics and psychometrics. Best wishes, Z _______________________________________________ R-packages mailing list R-packa...

Dear All, Is there any function in R for fitting linear probability model, as my response variable is a uniformly distributed. Regards, Adam [[alternative HTML version deleted]]

Hi, I have experimental response (Y) and many (important or not) actions (X). I want to create model: Y = aX1 + bX2 + ... + eX5 (1) from few most important actions of course. As I understand I have to use plsr for this task. I learned read.table and plsr R functions and how to plot some results from them, but still do not understand how I can get (or construct) function I need (function 1)?

Hi, With some help I learned how to use plsr(Y~x, 2, data=my) function in R (and build "my" from vector "Y" and matrix "x"). But still I have question about results interpretation. In the end I want to construct prediction function in form: Y=a1x1+a2x2 But I do not understand how to do it. Documentation do not describe this. Thanks for help. ;) [[alternative HTML

Dear R List, I have found that R handles a remarkable number of analytic tasks that are overlooked by major commercial packages. However, I have not found an R package that handles MaxDiff Scaling - does one exist? Thanks in Advance, Stephen Brand

Hi all, I am using package lavaan and have created a structural equation model with two exogenous and seven endogenous variables with the following relationships #specify the model m1 = ' # regressions D ~ ma + hs + b4 + b5 + b15 + b16 ma ~ hs + b4 + b5 + b15 + b16 hs ~ b4 + b5 + b15 + b16 b4 ~ el + la b5 ~ el + la

As the author of 3 of the 5 methods in optim, I think you may be wasting your time if this is for performance. My reasons are given in http://www.jstatsoft.org/v60/i02 Note that most of the speed benefits of compilation are found in the objective and gradient function, with generally more minor improvements in the method. JN On 14-10-22 06:00 AM, r-devel-request at r-project.org wrote: > Date: Tue, 21 Oct 2014 20:14:03 +0800 (CST) > From: ?? <2012111...

Hello, I am trying to use the plm package for panel econometrics. I am just trying to get started and load my data. It seems from most of the sample documentation that I need to use the pdata.frame function to get my data loaded. However, even after installing the "plm" package, my R installation cannot find the function. I am trying to follow the example in plmEN.pdf (

hi R help group, I have installed PLS package in R and use it for princomp & prcomp commands for calculating PCA using its example file(USArrests example). But How I can use PLS for Partial least square, R square, mvrCv one more think how i can import external file in R. When I use plsr, R2, RMSEP it show error could not find function plsr, RMSEP etc. How I can calculate PLS, R2, RMSEP, PCR,

Hi all, I a semi-beginner with R and I am working with the plm package to examine a longitudinal dataset. Each individual in this dataset has a longitudinal weight for the probability that he or she remains in the sample. Unfortunately, I have not found an argument to use weights in the plm function? I tried ?weights=? like in standard lm or in nlme or lm4 but it does not work. I asked the

Hi, I want to fit 3 beta distributions to my data which ranges between 0 and 1. What are the functions that I can easily call and specify that 3 beta distributions should be fitted? I have already looked at normalmixEM and fitdistr but they dont seem to be applicable (normalmixEM is only for fitting normal dist and fitdistr will only fit 1 distribution, not 3). Is that right? Also, my data has 26

Hello, dear experts. I don't have much experience in building regression models, so sorry if this is too simple and not very interesting question. Currently I'm working on the model that have to predict proportion of the debt returned by the debtor in some period of time. So the dependent variable can be any number between 0 and 1 with very high probability of 0 (if there are no payment)

Hi! I am quite a new user of R. I wanted to ask if there was some package for dynamic panel analysis (with Arneallo-Bond Method) like stata. PLM is for panel analysis but not for dynamic. Best regards, Tanveer

I am working with panel data. I am using the plm package to do this. I would like to do be able to adjust for autocorrelation, as one does with glm models and correlation structures (eg corr=corARMA(q=4)) . In particular, I want to employ MA(4) error structure. Is there a way of doing this with the plm package? (Note: I do not really want to use the pggls function for various