My previous expression is ok. But I agree using argument 'data' will be
a better choice especially when there are many variables from the object
specified by 'data'.
On 2010-9-1 16:23, Gavin Simpson wrote:
On Wed, 2010-09-01 at 11:05 +0800, Dejian Zhao wrote:
try
fit=vglm(mydata[,"Loss"]~1,pareto1(location=alpha),trace=TRUE,crit="c")
No, please don't. That is not a good example of formula use in R.
Several responders have already pointed out that the 'R' way of doing
this would be to use a data argument to tell vglm where to find the
variables mentioned in the formula. So your example would become:
fit<- vglm(Loss ~ 1, data = mydata, family = pareto1(location = alpha),
trace = TRUE, crit = "coef")
HTH
G
On 2010-9-1 3:20, choonhong ang wrote:
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"
fit=vglm(Loss~1,pareto1(location=alpha),trace=TRUE,crit="c")
Error in eval(expr, envir, enclos) : object "Loss" not found
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