problem with data frame to numeric transformation

Hello,

You need to tell read.table that the table has headers.


# needed 'header=TRUE'
first <- read.table("RESIDSNEWr.csv", sep=";", quote="\"",
header=TRUE)[c(1)]
second <- read.table("RESIDSNEWr.csv", sep=";", quote="\"",
header=TRUE)[c(2)]
# see what they look like
str(first)
str(second)

is.numeric(first) ## FALSE
is.numeric(second) ## FALSE

is.numeric(first$aaa) ## TRUE
is.numeric(second$bbb) ## TRUE
# general purpose
sapply(first, is.numeric)
sapply(second, is.numeric)


And the rest works at the first try.

calibKendallsTau(cc,cor(first,second,method="kendall"))

bbb
aaa 4.420256

## goodness-of-fit tests
gf.cc <- gofCopula(cc,u,method="itau")

Progress will be displayed every 100 iterations.
Iteration 100 
[...etc...]
Iteration 1000

gf.cc$pvalue

[1] 0.0004995005


Hope this helps,

Rui Barradas

Ivette wrote

 http://r.789695.n4.nabble.com/file/n4630788/GOF_CGIK.R GOF_CGIK.R  
http://r.789695.n4.nabble.com/file/n4630788/RESIDSNEWr.csv RESIDSNEWr.csv 

In order to save place, I attach the data and the R code, for which I have
2 questions.

1/ I cannot convert successfully the data frames with names "first" and
"second" in numeric format. They participate here: 

calibKendallsTau(cc,cor(first,second,method="kendall")) and I get an error
message.

2/ I have cut the dates from my data file RESIDSNEWr.csv, but let's
suppose I want to keep them. How shall I update the code from 1/ in order
to have also the dates?

Many thanks in advance to all, who will answer my message

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