insem...@comcast.net]
Sent: Monday, March 05, 2018 3:55 PM
To: Bert Gunter
Cc: Ding, Yuan Chun; r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
> On Mar 5, 2018, at 3:04 PM, Bert Gunter wrote:
>
> But of course the whole point of additivity is to
erated from a partial two-by-two factorial
> > > design: two levels for drug A (yes, no), two levels for drug B (yes, no);
> > > however, data points are available only for three groups, no drugA/no
> > > drugB, yes drugA/n
t;
> *From:* Bert Gunter [mailto:bgunter.4...@gmail.com]
> *Sent:* Monday, March 05, 2018 2:27 PM
> *To:* David Winsemius
> *Cc:* Ding, Yuan Chun; r-help@r-project.org
>
> *Subject:* Re: [R] data analysis for partial two-by-two factorial design
>
>
>
> David:
>
ning
> three separate T tests?
> > >
> > > Thank you so much!!
> > >
> > > Ding
> > >
> > > I need to analyze data generated from a partial two-by-two factorial
> design: two levels for drug A (yes, no), two levels for drug B (yes, no);
>
o levels for drug A (yes, no), two levels for drug B (yes, no);
> > however, data points are available only for three groups, no drugA/no
> > drugB, yes drugA/no drugB, yes drugA/yes drug B, omitting the fourth group
> > of no drugA/yes drugB. I think we can not investigate interacti
-help-boun...@r-project.org] On Behalf Of Ding, Yuan Chun
Sent: Monday, March 05, 2018 2:45 PM
To: Bert Gunter; David Winsemius
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
Hi Bert and David,
Thank you so much for willingness to spend some time on
, March 05, 2018 2:27 PM
To: David Winsemius
Cc: Ding, Yuan Chun; r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
David:
I believe your response on SO is incorrect. This is a standard OFAT (one factor
at a time) design, so that assuming additivity (no
> Replied on CrossValidated where this would be on-topic.
>
> --
> David,
>
> >
> >
> > From: Bert Gunter [mailto:bgunter.4...@gmail.com]
> > Sent: Friday, March 02, 2018 12:32 PM
> > To: Ding, Yuan Chun
> > Cc: r-help@
,
>
>
> From: Bert Gunter [mailto:bgunter.4...@gmail.com]
> Sent: Friday, March 02, 2018 12:32 PM
> To: Ding, Yuan Chun
> Cc: r-help@r-project.org
> Subject: Re: [R] data analysis for partial two-by-two factorial design
>
>
> [Atte
= drug A + drug B?
any suggestion is appreciated.
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Friday, March 02, 2018 12:32 PM
To: Ding, Yuan Chun
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
[Attention
Hi Bert,
Thank you so much for your direction, I have asked a question on stackexchange
website.
Ding
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Friday, March 02, 2018 12:32 PM
To: Ding, Yuan Chun
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two
This list provides help on R programming (see the posting guide linked
below for details on what is/is not considered on topic), and generally
avoids discussion of purely statistical issues, which is what your query
appears to be. The simple answer is yes, you can fit the model as
described, but y
Dear R users,
I need to analyze data generated from a partial two-by-two factorial design:
two levels for drug A (yes, no), two levels for drug B (yes, no); however,
data points are available only for three groups, no drugA/no drugB, yes
drugA/no drugB, yes drugA/yes drug B, omitting the fourt
Stef:
1. Read and follow the posting guide. I could make no sense of your
post. This may be because I didn't work hard enough to decrypt it -
which I shouldn't have to do -- or because I'm too stupid -- which I
can't do anything about anyway.
2. What does this have to do with R anyway? Try postin
Dear R users,
I have data on 4 types of interest rates. These rates evolve over
time and across regions of countries . So for each type of interest
rates I want to run a regression of rates on some other variables.
So my regression for one type of interest rate will be I_{ij}_t= a
+regressors
On Feb 28, 2012, at 4:16 AM, Hans Ekbrand wrote:
On Mon, Feb 27, 2012 at 11:04:13PM -0800, nontokozo mhlanga wrote:
Please assist me with all the tests including risk factor analysis
i can
use to analyse the enclosed database established from a
questionnaire survey
to test for the preval
On Mon, Feb 27, 2012 at 11:04:13PM -0800, nontokozo mhlanga wrote:
> Please assist me with all the tests including risk factor analysis i can
> use to analyse the enclosed database established from a questionnaire survey
> to test for the prevalence of tuberculosis in humans .
That's quite a ge
Please assist me with all the tests including risk factor analysis i can
use to analyse the enclosed database established from a questionnaire survey
to test for the prevalence of tuberculosis in humans .
Thank you
Nonty
--
View this message in context:
http://r.789695.n4.nabble.com/data-ana
On Sat, 3 Dec 2011 14:11:39 -0800 (PST)
inferno846 wrote:
...
>
> Also, could anyone help me figure out how to import a data table to
> R? When I try to create a .txt file from a word document and read it
> in R, the format of the first column always messes up. Any/all help
> is appreciated.
>
use a < ? > to get help on a function; example:
?read.table
If you do this you will see an option called "header"...
use header=T if your top row contains column names.
Learn how to read these help pages. Also, read thru a few beginner R
manuals and see this website:
http://www.statmethods.
Hi there,
I'm looking to analyze a set of data on local gas prices for a single day.
I'm wondering what kind of questions I should be looking to ask and how to
find and answer to them with R. Examples would be:
Do prices differ between brands?
Does location affect (NE, NW, SE, SW) price?
Does th
#x27;s a little like early factor analysis when rotate the factors actually meant
rotate the glass plates.
--- On Sun, 11/20/11, Colstat wrote:
From: Colstat
Subject: Re: [R] Data analysis: normal approximation for binomial
To: "John Kane"
Cc: r-help@r-project.org
Received: Sunday, No
&hl=en&ei=nQHJTo7LPIrf0gHxs6Aq&sa=X&oi=book_result&ct=result&resnum=2&ved=0CC0Q6AEwAQ#v=onepage&q=z-test%20with%20continuity%20correction&f=false
>
> A print source that, IIRC, has a discussion of this is "Hayes, W. (1981.
> Statistics. 3rd Ed., Holt
Hey, Joshua
Thank so much for your quick response. Those examples you produced are
very good, I'm pretty impressed by the graphs. When I ran the last line, I
hit an error, so I ran what's inside summary(), it give me
Error: could not find function "lmer"
Something with the package "lme4"?
Colin
wAQ#v=onepage&q=z-test%20with%20continuity%20correction&f=false
A print source that, IIRC, has a discussion of this is "Hayes, W. (1981.
Statistics. 3rd Ed., Holt Rinehart and Winston
Have fun
--- On Sat, 11/19/11, Colstat wrote:
> From: Colstat
> Subject: [R] Data analysis: nor
Hi Colin,
I have never heard of a binomial distribution z statistic with (or
without for that matter) a continuity correction, but I am not a
statistician. Other's may have some ideas there. As for other ways
to analyze the data, I skimmed through the article and brought the
data and played arou
Hi,
I am not clear what your goal is. There is a variety of data there.
You could look at t-test differences in preIntensity broken down by
sex, you could use regression looking at postIntensity controlling for
preIntensity and explained by age, you could
Why are you analyzing data from an a
Dear R experts,
I am trying to analyze data from an article, the data looks like this
Patient Age Sex Aura preCSM preFreq preIntensity postFreq postIntensity
postOutcome
1 47 F A 4 6 9 2 8 SD
2 40 F A/N 5 8 9 0 0 E
3 49 M N 5 8 9 2 6 SD
4 40 F A 5 3 10 0 0 E
5 42 F N 5 4 9 0 0 E
6 35 F N 5 8 9 12
Announcing a new version of Deducer:
Deducer 0.2-1 is an intuitive, cross-platform graphical data analysis
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the data manipulation and analysis process, and has an excel like
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R-helpers
A curious question: Can you make suggestions as to what to use in R for
the data from a sample of the following:
Hypermarket <- matrix(rnorm(100, mean=5, sd=5000))
Supermarket <- matrix(rnorm(400, mean=34000, sd=3000))
Minimarket <- matrix(rnorm(1000, mean=1,sd=2000))
Corn
thx for ur fast responds.
but sorry for asking stupid, i am a turn beginner of R (just trying it out
<3 months, and i am taking my first course about it)
so, to tackle this questions,
i was told to use "nested design" method,
could you actually show me how would u attempt this problem?
(a) Determi
On Sat, Mar 21, 2009 at 5:13 PM, UBC wrote:
>
> so i am having this question
> what should i do if the give data file (.txt) has 4 columns, but different
> lengths?
> how can i read them in R?
> any idea for the following problem?
>
>
> Gas consumption (1000 cubic feet) was measured before and aft
This works with the example. If the real data is different it may not
work. To run the example below just copy and paste it into R.
To run with the real data replace textConnection(Lines) with
"insulation.txt" everywhere.
Lines <- "Before insulAfter insul.
tempgas tempgas
-0.8
If the input file has a separator other than a space (e.g., tabs or
commas) then you can read it is and the missing data will be NAs and
you can decide how to handle it. If it does not have a separator,
then maybe you can read it in with read.fwf. Otherwise when you read
it in, you can tell the s
so i am having this question
what should i do if the give data file (.txt) has 4 columns, but different
lengths?
how can i read them in R?
any idea for the following problem?
Gas consumption (1000 cubic feet) was measured before and after insulation
was put into
a house. We are interested in loo
On Mon, Dec 08, 2008 at 09:34:35PM -0800, Feanor22 wrote:
>
> Hi experts of R,
>
> Are there any functions in R to test a univariate series for long memory
> effects, structural breaks and time reversability?
> I've found for ARCH effects(ArchTest), for normal (Shapiro.test,
> KS.test(comparing w
Hi experts of R,
Are there any functions in R to test a univariate series for long memory
effects, structural breaks and time reversability?
I've found for ARCH effects(ArchTest), for normal (Shapiro.test,
KS.test(comparing with randn) and lillie.test) but not for the above
mentioned.
Where can I
On 3/19/2008 10:18 AM, (Ted Harding) wrote:
> On 19-Mar-08 10:34:12, Rory Winston wrote:
>> Me too. Getting directly spammed like this is really annoying.
>> I dont mind a general post to the list, but individually
>> spamming each member of the list is unacceptable. Especially
>> as I have no inte
On 19-Mar-08 10:34:12, Rory Winston wrote:
> Me too. Getting directly spammed like this is really annoying.
> I dont mind a general post to the list, but individually
> spamming each member of the list is unacceptable. Especially
> as I have no interest in the stupid product in question.
It's not
Office available for free to R users at educational and
> non-profit research institutions. A free trial is available
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>
> With Inference for Office, you can assemble all the elements
> of an R data-analysis project (text, data, R objects, R
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ffice available for free to R users at educational and
> non-profit research institutions. A free trial is available
> for everyone.
>
> With Inference for Office, you can assemble all the elements
> of an R data-analysis project (text, data, R objects, R
> code) into dyn
[EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf
> Of Douglas Bates
> Sent: Tuesday, March 18, 2008 8:39 AM
> To: Doran, Harold
> Cc: [EMAIL PROTECTED]; Gorden T Jemwa; r-help@r-project.org
> Subject: Re: [R] UNSOLITED E_MAILS: Integrate R data-analysis
> projects wi
>
>
From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of
> > [EMAIL PROTECTED]
>
>
> > Sent: Tuesday, March 18, 2008 7:33 AM
> > To: Gorden T Jemwa
> > Cc: r-help@r-project.org
> > Subject: Re: [R] UNSOLITED E_MAILS: Integrate R data-
e: [R] UNSOLITED E_MAILS: Integrate R data-analysis
> projects wi
>
> On 18-Mar-08 12:08:44, Gorden T Jemwa wrote:
> > Dear R Admins,
> >
> > I received an unsolicited e-mail from BlueInference as an R
> user. Does
> > it mean that R that our e-mails (and
On 18-Mar-08 12:08:44, Gorden T Jemwa wrote:
> Dear R Admins,
>
> I received an unsolicited e-mail from BlueInference as an R
> user. Does it mean that R that our e-mails (and names) is
> sharing it's user database with third parties without our
> consent? Or perhaps the BlueInference guys are
tions. A free trial is available
for everyone.
With Inference for Office, you can assemble all the elements
of an R data-analysis project (text, data, R objects, R
code) into dynamic documents. These dynamic documents can
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