search for: choonhong

HI All, How to read SAS data directly into R ? Thank you [[alternative HTML version deleted]]

Hi All, could anybody help me to understand what is this error means ? mydata=read.table("C:/Documents and Settings/angieb/Desktop/CommercialGL/cl_ilf_claimdata.csv",header=TRUE,sep=",") > names(mydata) [1] "ILFTable" "liabLimit" "AnnAggLimit" "DedAmt" "Loss" "TIL" >

The district a is the baseline and we observe the difference between District a & b is not significant, we can choose to combine these 2 values. How to write code to combine these 2 value ? > m1=glm(Claims~District+Group+Age+log(Holders),fami ly=poisson,data=mydata) > summary(m1) Call: glm(formula = Claims ~ District + Group + Age + log(Holders), family = poisson, data = mydata)

I have used the insurance data from R library and I have 2 questions: I use the following: >library(MASS) >data(Insurance) > m1=glm(Claims ~ District + Group + Age + offset(log(Holders)),data = Insurance, family = poisson) >summary(m1) Call: glm(formula = Claims ~ District + Group + Age + offset(log(Holders)), family = poisson, data = Insurance) Deviance Residuals: Min

Is this book a good reference to learn R for statistical analysis ? A Handbook of Statistical Analyses Using R by Brian S. Everitt<http://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Brian%20S.%20Everitt>(Author), Torsten

Hi friends, How to detect outliers and high leverage points for GLM ? Could I use plot(model) (i) "Residuals vs Fitted" graph to detect the outliers ? (ii) "Residuals vs Leverage" graph to detect the high leverage points ? And then remove those points from the data and re-run the model ? [[alternative HTML version deleted]]

Hi, I have a set of data (total number of record = 144,122), and I would like to use gamma-glm with log link to set up a model. IC is number of records IL is paid amount The table below shows that I have 30.578% of the data in the level of "1 - 1000" paid amount 20.320% of the data in the level of "1001 - 2000" paid amount and so on My question is could i use the whole data