Normality tests

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I have a large amount of data which I break down into a collection of
vectors of 100-125 values each.  I would like to test the normality of the
vectors and compare them.  In the interactive mode I can test any one vector
using the Shapiro-Wilk test or the Kolmogorov-Smirnov test.  My problem is
that when I try to write out the results to a file, the term output is a
mixture of alpha characters along with the number value that I really want.
How can I get it to write out just the p-values by themselves?
Try

   shapiro.test(rnorm(100))$p.value

Put all your p.values into a vector and write that out.

While you're at it, check ?str to see how handy the
str() function is in identifying the pieces of an R object.

Peter Ehlers
Thank you very much for your time.

Bruce Kindseth

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I have a large amount of data which I break down into a collection of
vectors of 100-125 values each.  I would like to test the normality of the
vectors and compare them.  In the interactive mode I can test any one vector
using the Shapiro-Wilk test or the Kolmogorov-Smirnov test.  My problem is
that when I try to write out the results to a file, the term output is a
mixture of alpha characters along with the number value that I really want.
How can I get it to write out just the p-values by themselves?
As seen below, the shapiro.test() output is a list of four components.
names(shapiro.test(rnorm(100, mean = 5, sd = 3)))
[1] "statistic" "p.value"   "method"    "data.name"

You can extract just the p-value with:
shapiro.test(rnorm(100, mean = 5, sd = 3))$p.value
[1] 0.244

HTH,
Jerome
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