something like this?
par(mfrow=c(2,2))
boxplot(Sepal.Length~Species,data=iris,main='Sepal Length')
boxplot(Sepal.Width~Species,data=iris,main='Sepal Width')
boxplot(Petal.Length~Species,data=iris,main='Petal Length')
boxplot(Petal.Width~Species,data=iris,main='Petal Width')
It's designed for continuous distributions. See the first sentence here:
http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test
K-S is conservative on discrete distributions
On Sat, Feb 19, 2011 at 1:52 PM, tsippel tsip...@gmail.com wrote:
Is the kolmogorov-smirnov test valid on both
It looks like the test is indicating a far bigger difference than
could be explained by random variation.
Since the sample sizes are equal, have you considered plotting the
ordered values of one against the ordered values of the other
(essentially an empirical QQplot), with a 45 degree line drawn
This might help some:
RSiteSearch(winsorize)
On Sun, Aug 1, 2010 at 11:39 AM, Cecilia Carmo cecilia.ca...@ua.pt wrote:
Hi everyone!
#I need a loop or a function that creates a X2 variable that is X1 without
the extreme values (or X1 winsorized) by industry and year.
#My reproducible
Erk. Sorry about the wrapping issue on the comments in the code,
which will interfere with a straight copypaste.
Glen
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56.5 0
raises 64.6 10.397226 0.19754317 63.5 1
critical 74.76667 9.894908 -0.86577893 77.5 0
advance 42.9 10.288706 0.85039799 41.0 1
HTH,
Dennis
On Mon, Jul 19, 2010 at 10:51 PM, Glen Barnett glnbr...@gmail.com wrote
Assuming I have a matrix of data (or under some restrictions that will
become obvious, possibly a data frame), I want to be able to apply a
list of functions (initially producing a single number from a vector)
to the data and produce a data frame (for compact output) with column
1 being the
On Fri, Jun 4, 2010 at 2:51 PM, Dhanasekaran dhana...@gmail.com wrote:
ca_los.txt is my tab delimited large text file which contains about 16lakhs
observations.
Most readers of this list probably won't know that a 'lakh' is a
hundred thousand. 16lakhs means 1.6 million.
Glen
Your question is impossible to parse I would like sort of ... sort of what?
vlookup is an Excel function that returns the value in one column
based on a value in another column; by
default it finds the index of the largest value in the first column of
the table less than the target, and returns
The problem is that the acf function (like many R functions) returns a list
containing many different things. For example, I have a short series in
the vector z:
acz - acf(z)
str(acz)
List of 6
$ acf : num [1:11, 1, 1] 1 -0.0668 -0.7401 0.0627 0.5954 ...
$ type : chr correlation
$ n.used:
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