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hello for exampl, i have this programme # Generating data which are right truncated library(DTDA) library(splines) library(survival) n<-25 X<-runif(n,0,1) V<-runif(n,0.75,1) for (i in 1:n){ while (X[i]>V[i]){ X[i]<-runif(1,0,1) V[i]<-runif(1,0.75,1) }} res<-lynden(X=X,U=NA, V=V, boot=TRUE) attach(res) temps = time M_i = n.event L_t = res

We need some idea of the problem. http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example http://adv-r.had.co.nz/Reproducibility.html On Thursday, May 10, 2018, 11:07:30 a.m. EDT, malika yassa via R-help <r-help at r-project.org> wrote: Hello Do You help me, i have the problem in the package DTDA for ?find the probability of truncation

> On May 12, 2018, at 9:42 AM, malika yassa via R-help <r-help at r-project.org> wrote: > > > hello > for exampl, i have this programme > # Generating data which are right truncated > library(DTDA) > library(splines) > library(survival) > n<-25 > X<-runif(n,0,1) > V<-runif(n,0.75,1) > for (i in 1:n){ > while (X[i]>V[i]){ >

hello > p(X ? V) diffetente zero > look this > Let X and V be two independent random variables with unknow >? distribution functions (d.f.?s) F and G respectively. Under truncation from the right we observe (X, Z) only if X ? Z > I simulate X and Z and I use Lynden bell estimation > I need now to calculate alpha =p(X ? V)but no p(X ? V)=0 >? > > > > > >

Hello,?I?am experiencing some difficult time with my R package. Every time I compilei it a hidden file, desktop.ini, is?being created. I am using C++ behind, linkking to Rcpp. The file is generated even when I compile it with?Linux, and in many different computers. Does anybody have any advice or ideas? [[alternative HTML version deleted]]

I think we need a bit more info on the data layout and what decision rule you are using to update the Date of Service. Are you just updating a record to provide the most recent DoS or are you correcting errors? Have a look at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example or Reproducibility ? Advanced R.for some susggestions on how to form a good question

Make a reproducible example [1][2][3], because it doesn't happen for me. Then post your example at [4] or [5], because this is the wrong list for this question. You may find that the act of browsing the directory using a GUI is what creates that file rather than the compilation itself. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2]

Hello all, I'm a novice R programmer and I don't have a clue as to how to approach this. I have tried many different approaches only to fail and I can't seem to wrap my head around it. So I turn to the experts. I have a text file with patient data that has incorrect dates of service. I need to update the dates of service in the text file with data that's in a dataframe.

hello, I have a graph and i use qgraph package to calculate centrality parameters. Now I want to know the maximum value of shortest path for each vertex with discarding the Inf value in short pathes. For this I use the ShortestPathLengths of centrality function in qgraph. but when I want to get the maximum the result is wrong. here is my code: cen<-centrality(Q)

Hello, It's difficult to help without a sample of the format. Can you provide a short sample like 10 lines and a few columns.? Best regards, Jeremie On Wed, Jan 10, 2018 at 6:12 PM, John Kane via R-help <r-help at r-project.org> wrote: > Have a look at http://stackoverflow.com/questions/5963269/how-to-make- > a-great-r-reproducible-example > and >

Dear list members, I want to save residuals above or less than a certain value to an R object. I have performed a multiple linear regression, and now I want to find out which cases have a residual of above + 2.5 and ? 2.5. Below I provide the R commands I have used. Reg<-lm(a~b+c+d+e+f) # perform multiple regression with a as the dependent variable. Residuals<-residuals(reg) # store

Dear all, I wanted to compare Bonferroni vs TukeyHSD correction over a range of groups and group sizes, and wanted to use the function qtukey. In the help documentation it says qtukey(p, nmeans, df, nranges = 1, lower.tail = TRUE, log.p = FALSE) Arguments q vector of quantiles. p vector of probabilities. nmeans sample size for range (same for each group). df degrees of freedom for s (see

I am working on Johansen cointegration test, using urca and var package. in the selection of var, I have got following results. >VARselect(newd, lag.max = 10,type = "none") $selection AIC(n) HQ(n) SC(n) FPE(n) 6 6 6 5 $criteria 1 2 3 4 5 6 7 8 9 AIC(n) -3.818646e+01 -3.864064e+01

You might get someone on this last willing to invent something from scratch, but really this mailing list works best if you give very specific information, such as a verbatim copy of several records worth of your data file including all the stuff you want to skip over. Usually if someone is planning on inventing an example from scratch they make a blog post which you could find via search engine.

thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback. On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you

I have and they have not yet replied - however that was only two or three days ago. I have included a code example. > On Jun 22, 2017, at 8:25 PM, David Winsemius <dwinsemius at comcast.net> wrote: > >> >> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: >> >> I am using the R-package MODISTools (different than

Have a look at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and http://adv-r.had.co.nz/Reproducibility.html On Wednesday, January 10, 2018, 11:51:22 AM EST, deva d <devazresearch at gmail.com> wrote: dear all, i need some help in structuring my data file for a hierarchical time series analysis. can someone help please ? i have a 600

dear all, i need some help in structuring my data file for a hierarchical time series analysis. can someone help please ? i have a 600 row database in the nature of a panel data, with 3 time series values of interest. the data also has 4 classificatory variables comprising a code for each entity in the panel, a value for time (year), and classification of type of entity and a further sub-group

Hard to follow data analysis without data. Try making your example reproducible [1][2][3] and post in plain text (a setting in your emailer). Read the Posting Guide mentioned in the footer to avoid other posting pitfalls. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3]

Please read up [1][2][3] on what constitutes reproducibility. A sample of data that triggers the problem is essential. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html -- Sent from my phone. Please excuse my brevity. On June 23, 2017 6:54:48