I try to use t.test instead of Wilcox.test in summary.formula() , a very
decent function developed by Frank, as follows. But I got error messages. Can
someone help me out?
Dick
uT<-function(a,b){
j<-t.test(a)
p<-list(P=j$p.value,stat=j$statistic,
df=j$parameter,
3]
>>>> ineed <- data(arg, package="MASS")
>>>
>>> get(data(list = arg))
>>
>> I think the get() is superfluous:
>>
>>> rm(phones)
>>> exists("phones")
>> [1] FALSE
>>> data(list=arg, package=
I am trying to use datasets within R with a loaded package, for example, MASS.
When I use the dataset phones, it can be done using data(phones,
package=”MASS”). I am thinking about an alternative but more flexible way to
load this dataset. Because phones is the
70th dataset in this package, I
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