This is how I use it
prop.test(c(30,23),c(300,300))
Cheers../Murli
-Original Message-
From: Moshe Olshansky [mailto:[EMAIL PROTECTED]
Sent: Thursday, August 09, 2007 12:01 AM
To: Rolf Turner; r-help@stat.math.ethz.ch
Cc: Nair, Murlidharan T; Moshe Olshansky
Subject: Re: [R] small sample
@stat.math.ethz.ch
Subject: Re: [R] small sample techniques
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Nair,
Murlidharan T
Sent: Thursday, August 09, 2007 9:19 AM
To: Moshe Olshansky; Rolf Turner; r-help@stat.math.ethz.ch
Subject: Re: [R] small sample
size is large it is still OK to use t-test (because of
the Central Limit Theorem) but this is not necessarily
true for the small sample size.
You could use simulation to find the relevant
probabilities.
--- Nair, Murlidharan T [EMAIL PROTECTED] wrote:
If my sample size is small
If my sample size is small is there a particular switch option that I need to
use with t.test so that it calculates the t ratio correctly?
Here is a dummy example?
รก =0.05
Mean pain reduction for A =27; B =31 and SD are SDA=9 SDB=12
drgA.p-rnorm(5,27,9);
drgB.p-rnorm(5,31,12)
: Friday, August 03, 2007 11:01 AM
To: Nair, Murlidharan T; Stephen Tucker; r-help@stat.math.ethz.ch
Subject: RE: [R] t-distribution
Look at the power.examp and run.power.examp functions in the
TeachingDemos package. Do these do what you want? If not you can look
at the code in them to see how to fill
:11 PM
To: Nair, Murlidharan T; r-help@stat.math.ethz.ch
Subject: RE: [R] t-distribution
yes, or
p - seq(0.001,0.999,,1000)
x - qt(p,df=9)
y - dt(x,df=9)
plot(x,y,type=l)
f - function(x,y,...) {
polygon(x=c(x,rev(x)),y=c(y,rep(0,length(y))),...)
}
with(data.frame(x,y)[x = 2.3,],f(x,y,col=gray90
, Murlidharan T; r-help@stat.math.ethz.ch
Subject: Re: [R] t-distribution
p - seq(0.001,0.999,,1000)
x - qt(p,df=9)
y - dt(x,df=9)
plot(x,y,type=l)
polygon(x=c(x,rev(x)),y=c(y,rep(0,length(y))),col=gray90)
Hope this helps.
ST
--- Nair, Murlidharan T [EMAIL PROTECTED] wrote:
Indeed, this is what I
(y.tmp[b],rep(0,length(y.tmp[b]))),col=gray90)
Please let me know if I have made any mistakes.
Thanks ../Murli
-Original Message-
From: Richard M. Heiberger [mailto:[EMAIL PROTECTED]
Sent: Thu 8/2/2007 10:25 AM
To: Nair, Murlidharan T; Stephen Tucker; r-help@stat.math.ethz.ch
Subject
If I have a calculated t can I get the probability associated with it
using an R function by giving it the df and t? I know I can do the whole
calculation using t.test() or get the t-distribution using qt(). If
t=1.11 and df =9 can I get the probability?
Thanks../Murli
Indeed, this is what I wanted, I figured it from the function you and
Mark pointed me. Thank you both.
I am trying to plot it to illustrate the point and I tried this
plot(function(x) dt(x, df = 9), -5, 5, ylim = c(0, 0.5), main=t -
Density, yaxs=i)
Is there an easy way to shade the area under
Can I insert an element in an array at a particular position without
destroying the already existing element?
X-c(1,2,3,4,5)
I want to insert an element between 1 and 2.
Thanks ../Murli
[[alternative HTML version deleted]]
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Is there a function that calculates the inter-rater agreement index
(kappa) in R?
Thanks ../Murli
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PLEASE do read
I am having problems using debug() when I am running R under linux. It
works fine under the windows environment. Is there anything special that
need to specify when running under linux. I would appreciate your help.
Cheers../Murli
[[alternative HTML version deleted]]
Thanks for your help,
Cheers../Murli
From: talepanda [mailto:[EMAIL PROTECTED]
Sent: Sun 3/18/2007 11:07 PM
To: Nair, Murlidharan T
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] multcomp
?glht says
with 'print', 'summary', 'confint', 'coef' and 'vcov' methods
I used the multcomp package sometime back for doing multiple
comparisons. I see that it has been updated and the methods like simint
are no longer supported. When I run the program it prompts to me to use
glht. How do I get the lower and upper conf int and the pValues using
glht? Does anyone have
I am running a recursive feature selection wrapper on svm for a large
data set. The routine gets progressively slower. I am deleting the
objects not required. Is there anything else you advise me look for?
I tried running it from the command line but it does not print anything
on the screen. I
I am trying to understand the usage of slice while plotting. Can any one
provide me with some explanation to it or point me to a resource where I
can read it in greater detail. I have an example from the usage page for
SVM.
library(MASS)
library(e1071)
data(iris)
m2 - svm(Species~., data =
I am trying to understand the usage of slice while plotting. Can any one
provide me with some explanation to it or point me to a resource where I can
read it in greater detail. I have an example from the usage page for SVM.
library(MASS)
library(e1071)
data(iris)
m2 - svm(Species~., data =
I am trying to implement a simple r-svm example using the iris data (only two
of the classes are taken and data is within the code). I am running into some
errors. I am not an expert on svm's. If any one has used it, I would appreciate
their help. I am appending the code below.
Thanks../Murli
Are there functions to read image files in jpg, gif or even a pdf file?
Thanks ../Murli
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PLEASE do read the
I am trying to add text at specific location on my graph. I know this
can be done in R but I can't recollect.
I was trying using locator() to identify the position and use identify()
but I can get it to work. Can someone jog my memory?
Thanks ../Murli
[[alternative HTML version
Which is the parameter that is used to decrease the size of ylabs
plotted in biplot? I tried playing with cex and cex.lab I am not getting
it right
pc - princomp(USArrests)
biplot(pc, xlabs = rep(, nrow(USArrests)),ylabs=(colnames(USArrests)))
Thanks../Murli
/2006 2:40 AM
To: Rick Bischoff
Cc: Nair, Murlidharan T; r-help@stat.math.ethz.ch
Subject: Re: [R] princomp/biplot
On Sat, 2 Sep 2006, Rick Bischoff wrote:
Infinite values?
Or NA or NaN values
On Sep 2, 2006, at 3:48 PM, Nair, Murlidharan T wrote:
I am getting the following error when I
I figured it out. I had to specify the first column as my row names. Please
ignore my previous mail
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Sun 9/3/2006 2:40 AM
To: Rick Bischoff
Cc: Nair, Murlidharan T; r-help@stat.math.ethz.ch
Subject: Re: [R
I am unable to give % sign in the label. The percent sign is stripped
off in the plot. Is there a way to force this in? Also can I color the
labels differently?
pc - princomp(USArrests)
biplot(pc, xlabs = rep(, nrow(USArrests)))
Thanks ../Murli
[[alternative HTML version
I am getting the following error when I an trying to use princomp
princomp(unique.data)
Error in cov.wt(z) : 'x' must contain finite values only
What do I look for?
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https://stat.ethz.ch/mailman/listinfo/r-help
I am interested in plotting histograms for the following data
Isoform
Tumor_65_198
Tumor_50_192
Tumor_80_167
Tumor_80_204
Tumor_95_197
Tumor_70_189
Tumor_90_202
Tumor_40_177
Tumor_60_21
Tumor_70_174
Tumor_70_147
Tumor_50_5
ABCC4-2007
1
1
1
6
1
9
10
1
2
0
10
1
Thanks ../Murli
-Original Message-
From: hadley wickham [mailto:[EMAIL PROTECTED]
Sent: Friday, September 01, 2006 5:08 PM
To: Gabor Grothendieck
Cc: Nair, Murlidharan T; r-help@stat.math.ethz.ch
Subject: Re: Re: [R] histograms
Your data seems to have come through messed up but lets
Is there a function in R that does spectral clustering?
Thanks ../Murli
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PLEASE do read the posting guide
This has a stats question and a R question. I am sure there are many
core statisticians here how would know the answer to this simple
question. In determining the significant comparisons using the methods
in multcomp, the ones that are designated as significant are the ones
that do not intersect
to analyze
them and combine significant ones into one plot.
-Original Message-
From: Greg Snow [mailto:[EMAIL PROTECTED]
Sent: Tuesday, July 25, 2006 12:12 PM
To: Nair, Murlidharan T
Subject: RE: [R] Multcomp
Doing:
str( fungus.cirec )
Suggests that fungus.cirec$conf.int contains
to analyze
them and combine significant ones into one plot.
-Original Message-
From: Greg Snow [mailto:[EMAIL PROTECTED]
Sent: Tuesday, July 25, 2006 12:12 PM
To: Nair, Murlidharan T
Subject: RE: [R] Multcomp
Doing:
str( fungus.cirec )
Suggests that fungus.cirec$conf.int contains
]
Sent: Sun 7/23/2006 10:11 PM
To: Nair, Murlidharan T
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Saving R objects
It depends on what information you want to save and how the
program on the other end needs it.
For the save version I would at least use ascii = TRUE to get it
in a more readable
Can I run jobs in the background and the check the status of it from
time to time in Windows version of R?
Thanks ../Murli
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I am trying to find the best way to save the follwoing object I am creating
library(multcomp)
data(recovery)
Dcirec-simint(minutes~blanket, data=recovery, conf.level=0.9,
alternative=less)
I am probably not doing it the most efficient way I think.
Here is what I am doing
a-print(Dcirec)
I REALLY NEED HELP WITH THIS PLEASE
I am using the multcomp package for doing multiple comparisons (R 2.3.1
windows). Since the data I am handling is huge the number of comparisons are
also large. I am interested in:
1 Breaking down my plots to get rid of the clutter that happens when
Here it is again, hope this is more clear
I am using the following data (only a small subset is given):
Habitat Fungus.yield
Birch 20.83829053
Birch 22.9718181
Birch 22.28216829
Birch 24.23136797
Birch 22.32147961
Birch 20.30783598
Oak 27.24047258
Oak 29.7730014
Oak 30.12608508
Oak 25.76088669
-Original Message-
From: Gabor Grothendieck [mailto:[EMAIL PROTECTED]
Sent: Saturday, July 22, 2006 1:37 PM
To: Nair, Murlidharan T
Cc: R-help@stat.math.ethz.ch
Subject: Re: [R] Multcomp
On 7/22/06, Nair, Murlidharan T [EMAIL PROTECTED] wrote:
Here it is again, hope this is more clear
I am using the multcomp package for doing multiple comparisons. Since the data
I am handling is huge the number of comparisons are also large. I am interested
in:
1 Breaking down my plots to get rid of the clutter that happens when plotting
the entire data set. How do I pass only part of the
I am using the multcomp package for doing multiple comparisons. Since
the data I am handling is huge the number of comparisons are also large.
I am interested in:
1 Breaking down my plots to get rid of the clutter that happens when
plotting the entire data set. How do I pass only part of the
I am using the multcomp package for doing multiple comparisons. Since
the data I am handling is huge the number of comparisons are also large.
I am interested in:
1 Breaking down my plots to get rid of the clutter that happens when
plotting the entire data set. How do I pass only part of the
Is there a multicomp() function in R as in S plus?
Thanks ../Murli
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
I am trying to model a set of data that I am working on using contrasts.
Since the data set is too large, I am interested in scripting the entire
process to arrive at the minimum adequate model. Has anyone in the group
done this before? If you I would appreciate their comments.
Cheers ../Murli
I am trying to model a set of data that I am working on using contrasts.
Since the data set is too large, I am interested in scripting the entire
process to arrive at the minimum adequate model. Has anyone in the group
done this before? If you I would appreciate their comments.
Cheers ../Murli
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