or possibly even more appropriate is quant.stackexchange.com.
On Thu, Mar 5, 2020 at 4:38 AM Eric Berger wrote:
> Alternatively you might try posting to
> r-sig-fina...@r-project.org
>
>
>
> On Wed, Mar 4, 2020 at 9:38 PM Bert Gunter wrote:
>
> > Your question is way off topic here -- this lis
Alternatively you might try posting to
r-sig-fina...@r-project.org
On Wed, Mar 4, 2020 at 9:38 PM Bert Gunter wrote:
> Your question is way off topic here -- this list is for R programming
> questions, not statistical consulting. You might wish to try
> stats.stackexchange.com for the latter.
Your question is way off topic here -- this list is for R programming
questions, not statistical consulting. You might wish to try
stats.stackexchange.com for the latter.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka
So I've been researching statistical analysis for a considerable amount of
time and still haven't really found what I've been looking for and am
hoping that by getting help answering this question it will send me down
the right path to answering all of my questions. So I am hoping that
someone will
On 3/12/2016 12:39 PM, Axel wrote:
The main goal of my analysis is to
determine which are the fatty acids that characterize the origin of an oil. As
a secondary goal, I wolud like to insert the results of the chemical analysis
of an oil that I analyzed (I am a Chemistry student) in order to deter
Dear Axel
Since you are using princomp (among other things) you might find the
biplot function useful on the output of princomp.
I have not studies your code in detail but you do seem to be doing
several things in multiple ways using functions from different sources.
I wonder whether it mig
Hi Axel,
It seems to me that cluster analysis could be what you are seeking.
Identify the clusters of different combinations of fatty acids in the
oils. Do they correspond to location? If so, is there a method to
predict the cluster membership of a new set of measurements? Have a
look at the cluste
Inline.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Sat, Mar 12, 2016 at 9:39 AM, Axel wrote:
> Hi to all the members of the list!
>
> I am a
Hi to all the members of the list!
I am a novice as regards to statistical
analysis and the use of the R software, so I am experimenting with the dataset
"olive" included in the package "tourr".
This dataset contains the results of
the determination of the fatty acids in 572 samples of olive oi
organize the data. Afterwards, the dataset
could be exported as a .csv file for use in R.
John
>
>> Date: Tue, 7 Dec 2010 10:53:58 -0800
>> From: j...@johnmquick.com
>> To: r-help@r-project.org
>> Subject: [R] Statistical Analy
Hi Everyone,
I'm writing to announce my new R beginner's guide book and answer questions
related to it.
The primary focus of Statistical Analysis with R is helping new users become
accustomed to R and empowering them to apply R to suit their own needs. It
is a beginner's guide written for a broa
Dear Professor Frank Guess,
Why did you call me a Curious George?
What is a curious george as in American context?
Why did you address this email only to Laura and me.
Why did you not answer my early query on what is a curious George?
Why do you also send me emails saying I and Gandhi are full
age-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Chris Li
> Sent: Wednesday, September 23, 2009 5:37 PM
> To: r-help@r-project.org
> Subject: [R] Statistical analysis
>
>
> Hi all,
>
> I have got two datasets, one of th
Rainfall data is widely accepted as Random walk process and hence it is
non-stationary. Therefore if correlation or regression coef. is measured on
raw data then you may land in the world of spurious measures. I would
suggest you to check whether unit root is there in your data or not first.
If it
Hi Chris,
If I understand your question correctly, what you want is both easy and hard.
Easy:
# making a reproducible example, as asked in the posting guide
# two vectors
water <- rnorm(1000)
rain <- rgamma(1000,.5)
# the following does everything you mention and more
summary(lm(water~rain))
cor(
Chris Li wrote:
Hi all,
I have got two datasets, one of them is rainfall data and the other one is
groundwater level data.
I would like to see whether there is a correlation between these two
datasets and if there is, to what extent they are correlated.
My stats background is limited, therefor
Hi all,
I have got two datasets, one of them is rainfall data and the other one is
groundwater level data.
I would like to see whether there is a correlation between these two
datasets and if there is, to what extent they are correlated.
My stats background is limited, therefore any advice on w
Chris Li wrote:
>
> Hi all,
>
> I have got two datasets, one of them is rainfall data and the other one is
> groundwater level data.
>
> I would like to see whether there is a correlation between these two
> datasets and if there is, to what extent they are correlated.
>
> My stats backgroun
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