How to use multiple test for trend in proportions?

dataorder.csv <http://r.789695.n4.nabble.com/file/n4681879/dataorder.csv>
 I have a set of data as attached.Like (181,246,378).....(180,228,378). And I
want to use test for trend in proportions using (400,500,600) as denominator
and get 119 p-values. So I use the code as
below:
Reformatted:
data=read.table("dataorder.csv", sep=",",  stringsAsFactors=F)

i<-1:nrow(data)
n <- c(400,500,600)
e <- data[i,c(1,2,3)]
What is your intent with that command?
prop.trend.test(e, n)

allpvalue = apply(data, 1, function(x) { prop.trend.test(e, n)$p.value})
In the function body there is no reference to "x". Did you intend this:

   allpvalue = apply(data, 1, function(x) { prop.trend.test(x, n)$p.value})
However, there is something wrong but I can't figure out, can anybody
help? Thanks
Posting from Nabble often screws up formatting,  as it did big-time in your case. It is possible to post in plain text from Nabble, so you should now take the time to learn how to do that.
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How to use multiple test for trend in proportions?

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