Hi, how can I solve a problem without the function t.test???
for example:
x-(1,3,5,7)
y-(2,4,6)
t.test(x,y,alternative=less,paired=FALSE,var.equal=TRUE,conf.level=0.95)
--
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http://www.nabble.com/t.test-tf4034225.html#a11460445
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matthew wrote:
Hi, how can I solve a problem without the function t.test???
for example:
x-(1,3,5,7)
y-(2,4,6)
t.test(x,y,alternative=less,paired=FALSE,var.equal=TRUE,conf.level=0.95)
Homework?
Hints: Take out your statistics textbook and look up the formulas for
the two-sample t.
and do read the R-manual about how to make a vector
matthew wrote:
Hi, how can I solve a problem without the function t.test???
for example:
x-(1,3,5,7)
y-(2,4,6)
t.test(x,y,alternative=less,paired=FALSE,var.equal=TRUE,conf.level=0.95)
--
View this message in context:
On 23 Nov 2006, at 13:46, Peter Dalgaard wrote:
Robin Hankin [EMAIL PROTECTED] writes:
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
[snip]
What arguments do I need to send to t.test() to test my null?
[snip]
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean as observations x[-1], which are assumed
to be iid Gaussian. The (unknown) variance
of
, a surgery of suppositions. ~M.J.Moroney
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Namens Robin Hankin
Verzonden: donderdag 23 november 2006 14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1
Robin Hankin
Verzonden: donderdag 23 november 2006 14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution
: donderdag 23 november 2006 14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean
Robin Hankin [EMAIL PROTECTED] writes:
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean as observations x[-1], which are assumed
to
14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean as observations x[-1], which
On Thu, 23 Nov 2006, Peter Dalgaard wrote:
Robin Hankin [EMAIL PROTECTED] writes:
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean
23 november 2006 14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other observations (ie x[-1]).
My null hypothesis is that x[1]
is drawn from a Gaussian distribution of the same
mean
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Namens Robin Hankin
Verzonden: donderdag 23 november 2006 14:12
Aan: [EMAIL PROTECTED]
Onderwerp: [R] t.test()
Hi
I have a vector x of length n. I am interested in x[1]
being different from the other
Hi, I have a data matrix of gene expression data from two groups that I would
like to compare using the t-test. The data has been processed using RMA and
transformed using log2. I would like to compare the two groups for each gene
(N=10,000 genes) and have a result that lists the p-value for
Roth, Richard wrote:
Hi, I have a data matrix of gene expression data from two groups that
I would like to compare using the t-test. The data has been
processed using RMA and transformed using log2. I would like to
compare the two groups for each gene (N=10,000 genes) and have a
result that
function name `t.test', # arguments: 3
1) Arg type 3
Got a reference to a value 10
Here now!2) Arg type 3
Got a reference to a value 10
Here now!Calling R
t.test(c(0, 6.24280675278087, 6.35175793656943, 5.76925805661511,
7.0789316246711, 7.4636498661157, 8.13730810691084, 8.78203131644273
`t.test', # arguments: 3
1) Arg type 3
Got a reference to a value 10
Here now!2) Arg type 3
Got a reference to a value 10
Here now!Calling R
t.test(c(0, 6.24280675278087, 6.35175793656943, 5.76925805661511,
7.0789316246711, 7.4636498661157, 8.13730810691084, 8.78203131644273,
9.64502765609435
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hello all -
I'm trying to format some data where I only need one of the values
returned from a test, say a t-test in this instance. I have the following:
R.version.string
[1] R version 1.9.0, 2004-04-12
x - rnorm(1001)
t.test(x)$statistic
as.numeric() (and its siblings) strip the names from vectors, e.g.:
as.numeric(t.test(rnorm(1001))$statistic)
[1] -0.6320304
hth,
Tony Plate
At Friday 05:14 PM 4/16/2004, christopher ciotti wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hello all -
I'm trying to format some data where
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Tony Plate wrote:
as.numeric() (and its siblings) strip the names from vectors, e.g.:
as.numeric(t.test(rnorm(1001))$statistic)
[1] -0.6320304
hth,
Tony Plate
Thanks for the quick response.
- --
chris ciotti ([EMAIL PROTECTED])
PGP ID:
How about this?
t.test(x)[[1]]
The result of t.test(x) is a list and statistic is the first
component of that list.
christopher ciotti wrote:
...
I'm trying to format some data where I only need one of the values
returned from a test, say a t-test in this instance. I have the following:
Sorry, I should have checked that more closely. I see that
t.test(rnorm(12))[[1]]
retains the t.
christopher ciotti wrote:
...
I'm trying to format some data where I only need one of the values
returned from a test, say a t-test in this instance. I have the following:
R.version.string
How about:
as.numeric(t.test(rnorm(12))[[1]])
- Original Message -
From: Chuck Cleland [EMAIL PROTECTED]
To: christopher ciotti [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Sent: Friday, April 16, 2004 6:25 PM
Subject: Re: [R] t.test formatting question
Sorry, I should have checked
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