similar to: Sampling data without having infinite numbers after diong a transformation

Hello r helpers! Below is the whole coding for my programme. Before proceed more further, let me explain for you. First of all, I need to compute trimmed mean. Till that step is ok. Then I need to compute ssdw which is sum of square deviation. If I do equal trimming at both tail of distribution that I chose, I will use the first ssd formulae which is "a". But if I am doing unequal

Hi guys, I need your help!! My goal is to make a csv file from ncdf file. This is the code i've used : > hyo=open.ncdf("C:/CRUTEM3.nc") > hyo [1] "file C:/CRUTEM3.nc has 4 dimensions:" [1] "longitude Size: 72" [1] "latitude Size: 36" [1] "unspecified Size: 1" [1] "t Size: 1916" [1] "------------------------"

Hi guys, I have a very simple question. I'm trying to make multiple columns to a single column. For example, *ttx1* is a 46*72 matrix. so, I tried this. *d1=ttx1[,1] d2=ttx1[,2] ... d72=ttx1[,72]* now, d1, d2, ...,d72 become a 46*1 matrix. And then.. I tried.. *dd=rbind(d1, d2, ..., d72)* I thought *dd* should be 3312*1 matrix; but it becomes 72*46. I really wanted to make it a single

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Tue, 30 May 2017 16:01:17 +0200 writes: > Le 30/05/2017 ? 09:33, Martin Maechler a ?crit : ... >> However, even after the patch, The example from the SO >> post differs from the result of Richie Cotton's >> function... > The explanation is quite simple.

I am a new user of R so please bear with me. I have reviewed some R books, FAQs and such but the volume of material is great. I am in the process of porting my current SAS and SVS Script code to Lotus Approach, R and WordPerfect. My question is, can you help me determine the best R method to implement the Hoaglin Outlier Method? It is used in the Appendix A and B of the fo llowing link.

Hi, I have one critical question in using R. I am currently working on some research which involves huge amounts of data(it is about 15GB). I am trying to use R in this research rather than using SAS or STATA. (The company where I am working right now, is trying to switch SAS/STATA to R) As far as I know, the memory limit in R is 4GB; However, I believe that there are ways to handle the large

Hi guys, I need your help. I'm trying to sort the data by the variable "obs". This is how I tried to sort the data below. The problem is, I have a variable name "obs"; this is.. a counter variable. something like _n_ in SAS. I do not know why it is not working. I even tried a similar example in UCLA webpage: http://www.ats.ucla.edu/stat/R/faq/sort.htm :it also does not

Hello all - I am sorry if this simple question is addressed in somewhere else. But, I couldn't find it. It's been for about a week using R. . . My problem is: Reading matrix data with "scan" does not seem to allow me to incorporate matrix labels (columns, and rows). If I use read.table, I can import the lables. But, the problem is, I don't know how I make this data as

Hello R-helpers, I need to generate standard variates normal to 'create' chi-squared variates. To make you more understand, (1)   a<-rnorm(3,0,1) *after do (1), I need to squared and summed the three values. My problem is, how am I going to continue the programming if I had to repeat the process for 15 times, which in the end I will get 15 values from the whole programme.Hope you can

Hi guys, I need your help. I would like to select a subset from a dataset. This is the dimension of the dataset. > dim(data1) [1] 72 36 1916 so, it's like.. there are 1916 of 72 * 36 matrix. ==> looks like 72 * ( 36*1916 ) ** *1)* And I would like to select the first 72*36 matrix. This is how I did: > two=data1[,1:36] Error in data1[, 1:36] : incorrect number of dimensions

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Mon, 29 May 2017 15:28:12 +0200 writes: > Sorry, I have seen it too late that we had different tab > width in the original file and my editor. Here is the > patch with all white spaces instead of mixing tabs and > white spaces. thank you - it still gives quite a few

Hello R-helpers, I want to ask your opinion since I am not so sure how to do it. This is regarding one part of my paper project and my situation is: Stage I I have 2 groups and for each group I need to compute the following steps; i) Generate 3 random numbers from normal distribution and square them. ii) Repeat step 1 for 15 times and at the end I will get 15 random numbers. I already done

Hi..... I am new to this software, and I want to implement a client (SIP or IAX) with PHP or at least to pass the main functions (connection,call, transfer, hangup, call id etc) to a CRM. Does anyone know if I could achive a project like that with AGI ? Any example using AGI with PHP ? Do I have all the functionality with AGI ? What about call id ? What is depend on ? (As I know * does not

Hi List, Just wondering where the documentation exists for the statistics which makeup the bwplot. I'm guessing that if R is like similar products that the graph is constructed as The median is the filled circle. The box surrounding the filled circle depicts the 25th and 75th quartile. The range of values is given by the dotted lines (?whiskers?) outside of each box, and possible

Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more "manual" approach to trimming outliers and/or "normalizing" data used in regression analysis?

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Wed, 31 May 2017 18:46:34 +0200 writes: > Le 31/05/2017 ? 17:30, Serguei Sokol a ?crit : >> >> More thorough reading revealed that I have overlooked this phrase in the >> line's doc: "left and right /thirds/ of the data" (emphasis is mine). >

Hello - I have a problem of getting output from a logit test (network). The command, "summary" would not finish its report; because of an obscure error... I have a stack of network graphs, which are arrayed as follows == description starts here. #### graphs structure > rrel<-array(dim=c(4,69,69)) > rrel[1,,]<-aspRel > rrel[2,,]<-aspArea > rrel[3,,]<-aspCrowding

Le 31/05/2017 ? 17:30, Serguei Sokol a ?crit : > > More thorough reading revealed that I have overlooked this phrase in the > line's doc: "left and right /thirds/ of the data" (emphasis is mine). Oops. I have read the first ref returned by google and it happened to be tibco's doc, not the R's one. The layout is very similar hence my mistake. The latter does not

Hello R-Help, Could anybody tell me how the boxplot-function calculates the upper and lower extremes of the notch contained in $conf which I assume is the confidence interval? Is it reliable for data which is not normally distributed? If not, how can I calculate and boxplot a specific confidence interval for not normally distributed data in R (increasing the sample size does not normalize the

Hello everyone, I want to calculate type I error rate for modified F statistic for one way robust anova. I need to find the j group trimmed mean and winsorized sum of squared deviations. Here I attached my code for j=2 to make it simple. Originally I have j=4. Hope you can help. I need to run it for 1000 times My problem is: i) the value of F-test obtain from my simulation below is in negative