similar to: Re gression - cluster option in STATA

Hello I have time data which is in hh:mm:ss format and I need to calculate averages for this data. I tried converting the data as integer so that I could calculate the average, but it doesn't serve the purpose. I tried using Chron package also. But I am stuck up as to how to deal with the time data. Please guide me as to how to deal with Time data in R. Thank you in advance Regards Sunita

Hello My data contains following columns: 1st column: Posts (GM, Secretary, AM, Office Boy) 2nd Column: Dept (Finance, HR, ...) 3rd column: Tasks (Open the door, Fix an appointment, Fill the register, etc.....) depending on the post 4th column: Average Time required to do the task So the sample data would look like Posts Dept Task Average

Hello I have 2 datasets say Data1 and Data2 both are of different dimesions. Data1: 120 rows and 6 columns (Varname, Vartype, Labels, Description, ....) The column Varname has 120 rows which has variable names such id, age, gender,.....so on Data2: 12528 rows and 120 columns The column names in this case are V1, V2, ......... V120 (which are default names in R when we say head=F in read.csv)

Hello I am unable to find a graph for my data, My data contains following columns: 1st column: Posts (GM, Secretary, AM, Office Boy) 2nd Column: Dept (Finance, HR, ...) 3rd column: Tasks (Open the door, Fix an appointment, Fill the register, etc.....) depending on the post 4th column: Average Time required to do the task So the sample data would look like Posts Dept

Hello I have to import 2 txt files into R. 1 file contains the data and the other contains the header, column headings, datatypes and labels for the data. I have 2 problems: 1) my data file has mixed type of data e.g. 1 2 3 4 5 3-5 02/04/06 3 4 5 and so on, the data file is tab separated. when I import it, the data is getting stored in one single variable say V1. I need to separate it into rows

Hello Everyone I want to plot Moasic Plots, I have tried them using iplots package (using imosaic). The problem is the names dont get alligned properly, is there a way to a align the names and provide legend in Mosaic plots using R? Also I would like to know any other packages using which I can plot Mosaic Plots Thank you in advance Sunita -- View this message in context:

Hello My dataset is as follows: jobno recruits 1100 18 1200 1 1850 5 2100 190 2789 25 3000 1 . . . . the dataset has 130 rows I want to plot barplot from left side and cumulative curve from right side in one graph itself using layers in ggplot2. I sorted the recruits 1st in decreasing order

Please explain me as what it means and how this analysis can be done using R and which library(ies) are needed. Thanks -- View this message in context: http://www.nabble.com/Regression-using-age-and-Duration-of-disease-as-a-continous-factors-tp24574133p24574133.html Sent from the R help mailing list archive at Nabble.com.

Hello (this might be a very simple question) My data is as follows (table name is student) Year StudentsPassed 1 2000 300 2 2001 360 3 2002 450 4 2003 450 5 2004 270 6 2005 280 7 2006 400 8 2007 270 I want to plot a barplot so for this If I use barplot(students) it says "Error in barplot.default(students) : 'height' must be a vector or a

i have a series of regressions i need to run where everything is the same except for the dependent variable, e.g.: lm(y1 ~ x1+x2+x3+x4+x5, data=data) lm(y2 ~ x1+x2+x3+x4+x5, data=data) lm(y3 ~ x1+x2+x3+x4+x5, data=data) is it possible to run all these regs with a single command? given that the bulk of the work for linear regressions is inverting a matrix that depends only on the independent

Hi everyone! I'm new to R, and I'm stuck on a problem I don't know how to approach. I have calculated a regression in the form of M ~ D + O + S, and I would like to take this regression and test it with other samples, 5 at a time(5 meaning 5 set, each consisting M, D, O, and S of a specific date). I assume I'll need a for loop. Right now, My data of M, D, O, and S are all stored in

As you know, Stata support in 'foreign' was frozen a while back at Stata version 12. R-core has received a request from a grad student to 'give top priority' to supporting Stata 13. That is not going to happen, not least because none of us has access to Stata. However, according to Stata's documentation both Stata 12 and 13 use format 115, so foreign::read.dta should be

I have a client who uses Stata 11. Can anyone advise me on ways of transferring data from this version of Stata to R? Reading the documentation for read.dta in package foreign it seems it only allows for versions up to Stata 10. I don't know Stata at all but a bit of poking around on their website led me to believe Stata 11 couldn't write in Stata 10 format. However Stata 11 can

Hi I am using Stata 10 and I need to import a data set in stata 10 to R, I have saved the dataset in lower versions of Stata as well by using saveold command in Stata. My RAM is 4gb and the stata file is 600MB, I am getting an error message which says : "Error: cannot allocate vector of size 3.4 Mb In addition: There were 50 or more warnings (use warnings() to see the first 50)" Thus

Hi... In Stata, there is the ability to display scatter plots with data points at the same (x,y) location, using the 'jitter' command of the twoway scatter stata command. Anyone know of a way that I can do the equivalent thing in R? For non-Stata readers, if jitter is enabled in stata, and n-points would be at the same (x,y) location, the points are offset a bit (according to

Hi, I have a new job, and everyone here uses Stata. I won't give up on R, but I must learn better how to exchange data between the two softwares. I am now focusing on importing data from Stata to R, and I must confess that I am a bit disappointed with the read.dta function from the foreign package because IT typically happens that (i) I get a big R file (for example, a 15Mb Stata file

I am evaluating a switch from Stata to R. I don't need to extensive Statistical methods, but the main reason I am exploring the switch is the coding flexibility in R (e.g. Stata does not support linear/quadratic programming). I have been going over the R syntax and I had a quick question: In Stata, one has a very useful construction called "by", e.g. by month signal: gen xxx =

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

Dear R-list, I am currently working on a dataset with a colleague who uses stata. We fit a random intercept model to the data (decisions clustered in participants) and get closely the same results in stata (using xtreg re) and R (using the lme4 or multilevel package). Now in stata, there is an additional option for the regression to control for clustering; the vce(cluster clustvar) option,

I hope someone here knows the answer to this since it will save me from delving deep into documentation. Based on 22 pairs of vectors, I have noticed that tetrachoric correlation coefficients in stata are almost uniformly higher than those in R, sometimes dramatically so (TCC=.61 in stata, .51 in R; .51 in stata, .39 in R). Stata's estimate is higher than R's in 20 out of 22