Dear Steven,
> -Original Message-
> From: Steven Yen [mailto:sye...@gmail.com]
> Sent: June 29, 2016 9:48 AM
> To: Fox, John <j...@mcmaster.ca>
> Cc: R-help <r-help@r-project.org>; Sandy Weisberg (sa...@umn.edu)
> <sa...@umn.edu>
> Subject: Re: [R] t
Dear Steven,
> -Original Message-
> From: Steven Yen [mailto:sye...@gmail.com]
> Sent: June 29, 2016 9:39 AM
> To: Fox, John <j...@mcmaster.ca>
> Cc: R-help <r-help@r-project.org>; Sandy Weisberg (sa...@umn.edu)
> <sa...@umn.edu>
> Subject:
othesis for more
>> information.
>>
>> Best,
>> John
>>
>>> -Original Message-
>>> From: Steven Yen [mailto:sye...@gmail.com]
>>> Sent: June 28, 2016 3:44 PM
>>> To: Fox, John<j...@mcmaster.ca>
>>> Cc: R-help<r-help@
> From: Steven Yen [mailto:sye...@gmail.com]
>> Sent: June 28, 2016 3:44 PM
>> To: Fox, John <j...@mcmaster.ca>
>> Cc: R-help <r-help@r-project.org>
>> Subject: Re: [R] t-test for regression estimate
>>
>> Thanks John. Reason is I am doin
n.
Best,
John
> -Original Message-
> From: Steven Yen [mailto:sye...@gmail.com]
> Sent: June 28, 2016 3:44 PM
> To: Fox, John <j...@mcmaster.ca>
> Cc: R-help <r-help@r-project.org>
> Subject: Re: [R] t-test for regression estimate
>
> Thanks John. Reason is I a
, copy paste the code in a new function and
save your code.
Regards,
Adrien.
De : Steven Yen <sye...@gmail.com>
À : "Fox, John" <j...@mcmaster.ca>
Cc : R-help <r-help@r-project.org>
Envoyé le : Mercredi 29 juin 2016 0h43
Objet : Re: [R] t-test for regress
,
> John
>
> -
> John Fox, Professor
> McMaster University
> Hamilton, Ontario
> Canada L8S 4M4
> Web: socserv.mcmaster.ca/jfox
>
>
>> -Original Message-
>> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
, Professor
McMaster University
Hamilton, Ontario
Canada L8S 4M4
Web: socserv.mcmaster.ca/jfox
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Steven Yen
> Sent: June 28, 2016 9:27 AM
> To: R-help <r-help@r-project.org>
>
> Yen
> Sent: Tuesday, June 28, 2016 18:27
> To: R-help
> Subject: [R] t-test for regression estimate
>
> test option for linearHypothesis in library(car) include "Chisq" and
> "F". I prefer a simple t-test so that I can retrieve the standard error.
&g
test option for linearHypothesis in library(car) include "Chisq" and
"F". I prefer a simple t-test so that I can retrieve the standard error.
Any options other than linearHypothesis to test the linear hypothesis
(with 1 restriction/degree of freedom)?
> summary(ols1)
Coefficients:
Hard to disentangle your code in the non-HTML world of r-help. Please use
plain text in the future. Below is one approach you could try.
Jean
# response variables
resp_vars - runif(20)
names(resp_vars) - paste0(sample_, seq(20))
# independent variables
ind_vars - matrix(sample(c(A, B), 2000,
I'd like to perform a t-test between groups 'A' and 'B'. The difficulty is that
although there is only one response variable, there are many observations, and
the grouping (A or B) differs with each observation. My code for generating the
input data is shown below.
I'd like to know how to
dear all,
I have a dataset composed by different classes: I have two main classes,
active (Act.) and latent (Lat.), furher subdivided in the gene
subclasses IP10 and MIG and then into 7 stimulus sub-subclasses ESAT6
to PHA.
Would it be possible to test in a direct way the statistical differences
Dear all,
I would like to do t-test across two columns name with different cat
with overall mean (val).
(Removing if there is a single observation)
And finally, make a matrix with t-value and p-value associated with a name
(in rows) and cat (in columns)
dput(x)
structure(list(name =
15.9 NA NA NA NA
A.K.
- Original Message -
From: Nico Met nicome...@gmail.com
To: R help r-help@r-project.org
Cc:
Sent: Monday, July 15, 2013 11:50 AM
Subject: [R] t-test across columns
Dear all,
I would like to do t-test across two
Texas AM University
College Station, TX 77840-4352
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Nico Met
Sent: Monday, July 15, 2013 10:50 AM
To: R help
Subject: [R] t-test across columns
Dear all,
I would like to do t-test
Met' nicome...@gmail.com; 'R help' r-help@r-project.org
Cc:
Sent: Monday, July 15, 2013 1:33 PM
Subject: Re: [R] t-test across columns
This may be close to what you want:
t.val - by(x, x$cat, function(y) if (min(table(y$name)1)) {
+ t.test(val~name, y)})
t.out - do.call(rbind, sapply
Dear R Helpers,
I am stuck on some syntax and I thought that I was following one of the
examples that I found out there quite faithfully.
I just want to know how to do a t test on a single mean for whether or not
it is greater than a specific value. So I am using the data set sleep and
I want
(Re-) Read the docs (e.g. Intro to R, R Language Definition) . ...
arguments have to be named!
t.test(sleep$extra,mu=0, alt = greater) ## works
-- Bert
On Wed, Jun 19, 2013 at 6:50 AM, Sparks, John James jspa...@uic.edu wrote:
Dear R Helpers,
I am stuck on some syntax and I thought that I
Dear all,
I observer a strange behavior of the pvalues of the t-test under the null
hypothesis. Specifically, I obtain 2 samples of 3 individuals each from a
normal distribution of mean 0 and variance 1. Then, I calculate the pvalue
using the t-test (var.equal=TRUE, samples are independent). When
On 09-Jan-2013 08:50:46 Pavlos Pavlidis wrote:
Dear all,
I observer a strange behavior of the pvalues of the t-test under
the null hypothesis. Specifically, I obtain 2 samples of 3
individuals each from a normal distribution of mean 0 and variance 1.
Then, I calculate the pvalue using the
Ah! You have aqssigned a parameter equal.var=TRUE, and equal.var
is not a listed paramater for t.test() -- see ?t.test :
t.test(x, y = NULL,
alternative = c(two.sided, less, greater),
mu = 0, paired = FALSE, var.equal = FALSE,
conf.level = 0.95, ...)
Try it instead with
: R help
Subject: Re: [R] t-test
Hi John,
You are right. With more than two groups, the type 1 error rate should be
a problem.
A.K.
- Original Message -
From: John Kane jrkrid...@inbox.com
To: arun smartpink...@yahoo.com
Cc:
Sent: Thursday, October 4, 2012 8:40 AM
Subject: Re
Dear Group,
I want to do a t-test calculation on a large data set.
I am pasting some part of it
structure(list(Name = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), .Label = c(CTK100, CTK103, CTK121), class = factor),
Score =
Hello,
I'm not quite sure I understand, but something like this?
tapply(dat$Score, dat$Name, FUN = mean)
sapply(unique(dat$Name), function(un){
with(dat, t.test(Score[Name == un], Score[Name != un])$p.value)})
My doubt is in what you mean by mean for CTK and all. The ?t.test
gives a
Dear Rui,
Many thanks for help.
mean for CTK and all = comparison between mean of all groups ( which
means second col) vs. each groups like CTK100, CTK121 etc.
Regards
Nico
On Thu, Oct 4, 2012 at 12:28 PM, Rui Barradas ruipbarra...@sapo.pt wrote:
Hello,
I'm not quite sure I understand,
-h...@stat.math.ethz.ch
Sent: Thursday, October 4, 2012 6:37 AM
Subject: Re: [R] t-test
Dear Rui,
Many thanks for help.
mean for CTK and all = comparison between mean of all groups ( which
means second col) vs. each groups like CTK100, CTK121 etc.
Regards
Nico
On Thu, Oct 4, 2012 at 12:28 PM
Hi John,
You are right. With more than two groups, the type 1 error rate should be a
problem.
A.K.
- Original Message -
From: John Kane jrkrid...@inbox.com
To: arun smartpink...@yahoo.com
Cc:
Sent: Thursday, October 4, 2012 8:40 AM
Subject: Re: [R] t-test
My stats are lousy but isnt
-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of arun
Sent: 04 October 2012 13:59
To: John Kane
Cc: R help
Subject: Re: [R] t-test
Hi John,
You are right. With more than two groups, the type 1 error rate should be a
problem.
A.K.
- Original Message
Dear R-helpers,
In a data frame I have 100 securities,monthly closing value,from 1995 to
present,which I have to
1. Sampling with replacement,make 50 samples of 10 securities each,each
sample hence will be a data frame with 10 columns.
2. With uniform probabilty,mark a month from 2000 onwards as
Hi Student (since you have no other name),
On Thu, Jul 14, 2011 at 6:42 AM, Economics Student
economicsstudent2...@gmail.com wrote:
Dear R-helpers,
In a data frame I have 100 securities,monthly closing value,from 1995 to
present,which I have to
1. Sampling with replacement,make 50 samples
A multinomial logit model (N=192) revealed (besides others) the
following statistics for the outcome, y, and one predictor, x:
- y = A (baseline, n=34)
- y = B (n=26), B(x)=0.7323 (SE=0.2384)
- y = C (n=132), B(x)=0.6535 (SE=0.2041)
With a t-test I want to explore whether the two predictors
As this is apparently a post hoc test, this is wrong. The results are
biased. You have provided a nice example of how to do irreproducible
science.
Consult a local statistician for what this means if you do not know.
-- Bert Gunter
On Mon, Jan 17, 2011 at 4:35 AM, Sascha Vieweg
Hello Frodo,
It is not clear to me from your questions some of the basics of your
analysis.
If you only have two levels of a factor, and one response - why in the anova
do you use more factors (and their interactions)?
In that sense, it is obvious that your results would differ from the t-test.
and understand.
Please enlighten me.
Thanks in advance
Best regards
From: Tal Galili tal.gal...@gmail.com
To: Frodo Jedi frodo.j...@yahoo.com
Cc: r-help@r-project.org
Sent: Wed, January 5, 2011 10:15:41 AM
Subject: Re: [R] t-test or ANOVA...who wins? Help
Dear all,
I need an help because I don´t know how to perform the analysis in the right
way, as I get different beheaviors using t-test and two ways ANOVA.
In what follow I post the table, my goal and the strange results I got.
I kindly ask you an help because I really don´t know how to solve
Sorry, I realized that is is fairly easy to test that it is an issue
with which tail of the distribution you use. This should show what is
going on better than my prior message.
1.353946/2 = 0.676973
1 - 0.676973 = 0.323027
0.323027 * 2 = 0.646054
in pt(), the default is lower.tail=TRUE.
On Jun 17, 2010, at 12:51 AM, Worik R wrote:
If it were not for the fact that I get inconsistent results I would
be sure
that I need...
I have not yet seen a proper challenge to your original assumption
that the t-statistic should be the same as the p-value. They go in
_opposite_
Hi Worik,
You can try
2*pt(abs(t1$statistic), t1$parameter, lower.tail=FALSE)
If the test is two sided.
Cheers,
Oscar
Oscar M. Rueda, PhD
Postdoc, Breast Cancer Functional Genomics
Cancer Research UK Cambridge Research Institute
Li Ka Shing Centre
Robinson Way
Cambridge CB2 0RE
England
On 16-Jun-10 22:30:39, Worik R wrote:
I have two pairs of related vectors
x1,y1
and
x2,y2
I wish to do a test for differences in means of x1 and y1,
ditto x2 and y2.
I am getting odd results. I am not sure I am using 'pt' properly...
I have not included the raw vectors as they
Ted this was very helpful.
To be crystal clear I'll rephrase you.
What I am interested in is the probability that my 'T' is in the tail. For
a two sided test I do not care which tail. Since (all things being equal)
the distribution of T is around 0 if the my T is greater than 0 I compare it
to
I have two pairs of related vectors
x1,y1
and
x2,y2
I wish to do a test for differences in means of x1 and y1, ditto x2 and y2.
I am getting odd results. I am not sure I am using 'pt' properly...
I have not included the raw vectors as they are long. I am interested if I
am using R
If it were not for the fact that I get inconsistent results I would be sure
that I need...
2*pt(stat, df)
Section 8.1 of R-intro.pdf is explicit.
Problem is it gives inconsistent results
Worik
On Thu, Jun 17, 2010 at 10:30 AM, Worik R wor...@gmail.com wrote:
I have two pairs of related
More:
When the t-stat is 0 should I use 'pt' differently?
I have been checking my results and (except for the example I posted) all
the inconsistencies occur when t0
Worik
On Thu, Jun 17, 2010 at 10:30 AM, Worik R wor...@gmail.com wrote:
I have two pairs of related vectors
x1,y1
and
Look what happens when you use lower.tail=FALSE (see ?pt ). If that
is not your problem, perhaps you can provide a short sample vector
that replicates your results?
Josh
On Wed, Jun 16, 2010 at 10:02 PM, Worik R wor...@gmail.com wrote:
More:
When the t-stat is 0 should I use 'pt'
On Wed, Jun 16, 2010 at 3:30 PM, Worik R wor...@gmail.com wrote:
I have two pairs of related vectors
x1,y1
and
x2,y2
I wish to do a test for differences in means of x1 and y1, ditto x2 and y2.
I am getting odd results. I am not sure I am using 'pt' properly...
I have not included the
Sounds like homework (you are not supposed to post homework-related
questions here - read the guidelines). But anyway:
nr.of.rejections=0
for(i in 1:1){
x=rnorm(10, 0.1, 1)
result-t.test(x,alternative=greater,mu=0,conf.level=0.95)$p.value
if(result0.05) nr.of.rejections =
Hehe,
those homeworks. If you can explain this code to the professor, you surely
passed.
n -1
obs.rej.rate - sum(sapply(1:n,function(x){t.test(rnorm(10, 0.1,
1),alternative=greater,mu=0,conf.level=0.95)$p.value 0.05}))/n
obs.rej.rate
This could actually be another round of R-golf. Anybody
PS : level, you might want to consider stopping to spam the help-list.
You're not making yourself popular by asking -in one day- 3 questions that
can be solved by using Google and reading the introductions given on the R
homepage.
On Thu, May 6, 2010 at 5:57 PM, Joris Meys jorism...@gmail.com
-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks. If you can explain this code to the professor, you
surely
passed.
n -1
obs.rej.rate - sum(sapply(1:n,function(x){t.test(rnorm(10, 0.1,
1),alternative=greater,mu=0,conf.level=0.95)$p.value 0.05}))/n
[mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks. If you can explain this code to the professor, you
surely
passed.
n
...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T
I have been set a question which i understand statistically but my inability
with R is preventing me from finishing it..
My question is that we to calculate the frequency of Type 1 errors
starting with x = rnorm(10, 0.1, 1)
then doing a t-test seeing whether you reject the null hypothesis
Dear all,
Is there any bayesian t-test in R?
Many thanks,
Gandhi
__
z gegen Massenmails.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Robert Hall
Sent: Wednesday, September 16, 2009 12:55 PM
To: r-help
Subject: [R] T-test to check equality, unable to interpret the results.
Hi,
I have
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Rolf Turner
Sent: Wednesday, September 16, 2009 2:31 PM
To: Bert Gunter
Cc: 'r-help'
Subject: Re: [R] T-test to check equality, unable to interpret the
results.
On 17/09/2009, at 8:06 AM
Hi,
I have the precision values of a system on two different data sets.
The snippets of these results are as shown:
sample1: (total 194 samples)
0.600238
0.800119
0.600238
0.200030
0.600238
...
...
sample2: (total 188 samples)
0.8001
0.2000
0.8001
0.
,
Erik Iverson
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Robert Hall
Sent: Wednesday, September 16, 2009 1:55 PM
To: r-help
Subject: [R] T-test to check equality, unable to interpret the results.
Hi,
I have the precision values
Hi,
I was just going to send this when I saw Erik's post. He's right -- we
can't say anything about your data, but we can say something about
using a t-test.
I'm not a real statistician, so this answer isn't very rigorous, but
might be helpful.
On Sep 16, 2009, at 2:55 PM, Robert Hall
Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Steve Lianoglou
Sent: Wednesday, September 16, 2009 12:19 PM
To: Robert Hall
Cc: r-help
Subject: Re: [R] T-test to check equality, unable to interpret the results.
Hi,
I
On 17/09/2009, at 8:06 AM, Bert Gunter wrote:
snip
Furthermore, the null can be other than equality -- e.g. that the
mean of
the first population is less than the second.
snip
QUIBBLE: Some elementary texts will indeed state the null hypothesis as
``mu_1 = mu_2'' when
Hi,
I have the precision values of a system on two different data sets.
The snippets of these results are as shown:
sample1: (total 194 samples)
0.600238
0.800119
0.600238
0.200030
0.600238
...
...
sample2: (total 188 samples)
0.8001
0.2000
0.8001
0.
Hi Bert,
On Sep 16, 2009, at 4:06 PM, Bert Gunter wrote:
snip
Finally, statistically different is a meaningless phrase.
I'm not sure if you're quoting that to point out something in
particular you're taking exception to, but I never said that. I did
mention statistical significance with
*How can I do a t-test with survey data?*
Thanks.
Marie
--
-
Le Bureau fédéral du Plan fête ses 50 ans en 2009.
Het Federaal Planbureau viert zijn 50-ste verjaardag in 2009.
The Federal Planning Bureau
On Wed, 11 Mar 2009, Marie Vandresse wrote:
*How can I do a t-test with survey data?*
The 'survey' package does analysis of survey data. There isn't a t-test
function; the easiest way to test for differences in means is with a linear
regression model, using svyglm()
-thomas
Ingrid Tohver wrote:
I would like to run a t-test within a by group function. My
dataset, error, is organized as the following (I have 133 Sites):
Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
diff80
ALFI 15 USACE UC 48.15625 -117.0938 8.87 1.34
Uwe Ligges wrote:
Ingrid Tohver wrote:
I would like to run a t-test within a by group function. My
dataset, error, is organized as the following (I have 133 Sites):
Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
diff80
ALFI 15 USACE UC 48.15625 -117.0938
I would like to run a t-test within a by group function. My
dataset, error, is organized as the following (I have 133 Sites):
Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
diff80
ALFI 15 USACE UC 48.15625 -117.0938 8.87 1.34 1.90
2.98
ALFI 16
When doing the t-test in the below manner will r compare each element of the
array with the relevant one. I.e. if i was comparing x and y would (1 and 0)
and (1 and 9) be treated as separate variables. Or does it just assume one
variable.
# test data
x - c(1,1.1,1.15,1.2,1.21,1.23)
y -
are not taken into account.
Regards
Patricia
Date: Thu, 29 Jan 2009 13:59:41 +
From: amitrh...@yahoo.co.uk
To: r-help@r-project.org
Subject: [R] t-test
When doing the t-test in the below manner will r compare each element of the
array with the relevant one. I.e. if i was comparing x
Hi all,
though i know this is a simple question, i really hope someone could.
I am just trying to compare percents respectively the difference in
percents by a simple test. t.test usually compares means and is
working like it is supposed to be. Now i wonder how i can use a test
in R to
Of Bunny, lautloscrew.com
Sent: Wednesday, September 17, 2008 9:41 AM
To: r-help@r-project.org
Subject: [R] t-test between percentages
Hi all,
though i know this is a simple question, i really hope someone could.
I am just trying to compare percents respectively the difference in
percents by a simple
On Sep 17, 2008, at 12:41 PM, Bunny, lautloscrew.com wrote:
Hi all,
though i know this is a simple question, i really hope someone could.
I am just trying to compare percents respectively the difference in
percents by a simple test. t.test usually compares means and is
working like it is
Hi,
How can I make a t-test if I haven't got all data set but I know the
numbers of subjects for each group, the mean and di standard deviation
for each group?
Thanks
Angelo Scozzarella
__
R-help@r-project.org mailing list
Just plug your values into the t-test formula, you don't need R for
this, you can use a calculator. If you want a p-value then use the pt()
function in R after getting the t statistic.
Angelo Scozzarella wrote:
Hi,
I want to calculate the T-Test from means and sd.
How can I do it?
Thanks
Hi,
I want to calculate the T-Test from means and sd.
How can I do it?
Thanks
Angelo Scozzarella
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Sent: Tuesday, 12 August 2008 2:59 PM
To: r-help@r-project.org
Subject: [R] T-Test Help
Hi,
I want to calculate the T-Test from means and sd.
How can I do it?
Thanks
Angelo Scozzarella
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman
Hi Henning,
Henning Wildhagen wrote:
i tried your code, but it results in an error:
error in var(x) : `x` is empty
Do you have an idea what the reason might be?
If you ask questions on this list, please provide some code snippets,
which the others can copy and paste to reproduce your error.
Dear list,
i try to do my first statistics with R.
Given a dataframe of three columns, where col1 is of type factor, col 2 and
col3 are numeric and pairs of observations i would like to perform a paired
t-test for each level of col1.
I would like to avoid specifying the levels of col1 manually
Hi Henning,
Henning Wildhagen wrote:
Given a dataframe of three columns, where col1 is of type factor, col 2 and
col3 are numeric and pairs of observations i would like to perform a paired
t-test for each level of col1.
I would like to avoid specifying the levels of col1 manually because it
]
An: Henning Wildhagen [EMAIL PROTECTED]
CC: r-help@r-project.org
Betreff: Re: [R] t-test for multiple variables
Hi Henning,
Henning Wildhagen wrote:
Given a dataframe of three columns, where col1 is of type factor, col 2
and
col3 are numeric and pairs of observations i would
82 matches
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