similar to: grouping-R-help

Hello - R-experts, Is there any way with which we can specify the number after decimal point to take. Like I have a situation where the values are comming 0.160325923 but I only want 4 place to decimal say 0.1603. Is there any way for that. I am no expert in R- and this may sound simple to many.sorry Thanks for any help. With Regards Subhabrata

Hello R-users/experts, I am new to R- I have a simple question: Let say I have a data set as follows temp:[file attached] the data structure is a follows: sex age female 28 female 53 female 53 female 36 male 42 male 29 male 43 male 36 male 41 Here we are grouping all male value into male and all female value in to female

Hello R - users, This may sound simple to may people: I have a list of data as follows type value y 7 y 7 y 8 y 8 y 8 y 9 y 9 y 9 y 9 y 10 y 10 y 10 y 10 y 11 y 11 y 12 y 12 y 14 y 14 y 14 y 15 y 17 y 20 y 20 y 20 y 20 y 25

Hello R-users, I am new to R-commands. I have two sets of data: x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I have used 'cut' command to seperate them as follows a <- cut(x, breaks =c(0,5,10,20,25,30)) b <- cut(y, breaks =c(0,5,10,20,25,30)) > table(a) a (0,5] (5,10] (10,20] (20,25] (25,30] 0 4 3 0

Hello R Users, I have two sets of values x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I am able to create multi histogram using multhist(). But not able to control the 'xlim'. ie the xaxis is showing 7.5, 13, 18, 23 1st on what basis it is calculated 2nd I want it to be like 7 8 9 15 17 and so on Can any one help me With Regards Subhabrata

Hello - R-experts, This may sound simple to many --- We can specify the x limit by saying xlim = c(0, 20) for example. Then the graph will show the range of x -axis between 0 - 20. But the coordinate gap will be automatic like 0 then 5 then 15 and 20. Is there any way by which we can set it in a gap of 2 or any number. Thank you for any help. With Regards Subhabrata [[alternative HTML

Hi, Does Icecast has RTP support for streaming OGG/Vorbis and OGG/theora media files? If so, then please give me some pointers on how to configure my Icecast server to listen to RTP requests. If it's not available, then is the inclusion of this feature, in plans for future release of the product? Thanks -- Subhabrata Bhattacharya

Hello R-experts, I am facing a strange problem while creating a barplot. I have serise of data of which the first on is around 162589 while the remaining data are around 0-150. so when I am ploting the barplot with all the data I am getting a single line -> test1.jpg. But If I remove the 1st value i.e 162589 then I am getting a normal barplot -> test2.jpg Can some one help me regarding

Hi All, Newbie question that i'm sure is easy, but i can't seem to apply properly I read in a datafram from a CSV file and i want to tell R that from coloum "n_0" to "n_32" the value "-1" is missing data i was looking at the is.na(xx) <- c(..,...,) idea but i can't seem to apply it properly, can anyone offer advice? On a side issue while i'm

I am new to R. I have a data set like this (given below is a fictional dataset): AgeCat FINWT 1 98 2 62 1 75 3 39 4 28 2 47 2 66 4 83 1 19 3 50 I need to calculate the weighted distribution of the variable AgeCat. In SAS i can do: proc freq data=ageval; tables agecat; weight finwt; run; What or is there an equivalent in R? TIA, Krishnan -- Krishnan Viswanathan 1101 High Meadow Dr

I have a set of data that includes various data columns. One if the survival time and another if a continuous variable of ages. I want to put the ages into intervals so that I can then perform the Kalpan Meier test. I am trying to use the following code to build a column with the age group numbers in agecatagory<-c( ) for (i in 1:137) { { if(age[i]<=46) {agecat[i]<-1} if(age[i]>46

Dear, I want to fit an inverse gaussion distribution to a data set. The predictor variables are gender, area and agecategory. For each of these variables I've defined a baseline e.g. #agecat: baseline is 3 data<-transform(data, agecat=C(factor(agecat,ordered=TRUE), contr.treatment(n=6,base=3))) The variable 'area' goes from A to F (6 areas: A,B,C,D,E,F) How can i

Hi everyone, my apologies in advance if I'm overlooking something simple in this question. I am trying to use R's survey package to make a direct method age-adjustment to some complex survey data. I have played with postStratify, calibrate, rake, and simply multiplying the base weights by the correct proportions - nothing seems to hit the published numbers on the nose. I am trying to

Hi! I am quiet new with R and I have some problems to perform a posthoc test with an lme model. My model is the following: >lme1<-lme(eexp~meal+time, random=~1|id,na.action=na.omit) and then i try to get a post hoc test: >summary(glht(lme1,linfct=mcp(meal="Tukey))) but I get a warning message: Erreur dans as.vector(x, mode) : argument 'mode' incorrect Thank you for your

Dear list, I have a problem on persp() x <- u1data #first coloum in attached data y <- u2data #second coloum in attached data f <- function(x,y){qgev(pnorm(rhoF*qnorm(pnorm((qnorm(y)-rho2*qnorm(x)/sqrt(1-rho2^2)))) +sqrt(1-rhoF^2)*qnorm(0.95)),-0.3935119, 0.4227890, 0.2701648)} z <- outer(x,y,f) persp(x,y,z) The R will display: "Error in persp.default(x, y,

I have a variable which is roughly age categories in decades. In the original data, it came in coded: > str(xxx) 'data.frame': 58271 obs. of 29 variables: $ issuecat : Factor w/ 5 levels "0 - 39","40 - 49",..: 1 1 1 1... snip I then defined issuecat as ordered: > xxx$issuecat<-as.ordered(xxx$issuecat) When I include issuecat in a glm model, the result

R 2.8.1 windows XP I am getting an error message that I don't understand when I try to run GLM. The error only occurs when I have all independent variables in the model. When I drop one independent variable, the model runs fine. Can anyone help me understand what the error means and how I can correct it? Thank you, John > fit11<-glm(AAMTCARE~BMI+BMIsq+SEX+jPHI+jMEDICAID+factor(AgeCat)+

Hello, I am trying to run a logistic regression with random effects on proportional data in glmmBUGS. I am a newcomer to this package, and wondered if anyone could help me specify the model correctly. I am trying to specify the response variable, /yseed/, as # of successes out of total observations... but I suspect that given the error below, that is not correct. Also, Newsect should be a

Dear all, I have a quasipoisson glm for which I need confidence bands in a graphic: gm6 <- glm(num_leaves ~ b_dist_min_new, family = quasipoisson, data = beva) summary(gm6) library('VIM') b_dist_min_new <- as.numeric(prepare(beva$dist_min, scaling="classical", transformation="logarithm")). My first steps for the solution are following: range(b_dist_min_new)

Hello, Any advice or pointers for implementing Sobel's test for mediation in 2-level model setting? For fitting the hierarchical models, I am using "lme4" but could also revert to "nlme" since it is a relatively simple varying intercept model and they yield identical estimates. I apologize for this is an R question with an embedded statistical question. I noticed that a