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Hi, I've the following kind of data Time Country Values 2010Q1 India 5 2010Q2 India 7 2010Q3 India 5 2010Q4 India 9 2010Q1 China 10 2010Q2

I have a dataset called "raw-data" . I am trying to use the following code - col_name<-names(raw_data) for (i in 1:(length(names(raw_data))-2)) { tbl=table(raw_data$Pay.Late.Dummy, raw_data$col_name[i]) chisqtest<-chisq.test(tbl) } Say the 1st column of my raw_data is Column1. The idea is when i=1 then raw_data$col_name[i] will automatically become raw_data$Column1 ,

Hi All, Say I have the values of function f(x1,x2,x3,x4) for each values of x1,x2,x3,x4 but not complete. But the functional form is not known. Techniques like regression, etc. are not able to give me satisfactory results and msy be more complex than we thought. I wanted to use Taylor's approximation to continuous function, to approximate a functional form using the given data. But failed