I am writing an R package that generates a .pdf file for users that outputs
summarizations of data. I have a .Rnw script in the package (here, my MWE
of it is called test.Rnw). The user can do:
knit2pdf("test.Rnw", clean=T)
This makes the process easy for them, because it automatically creates th
Hi All,
I am sorry for the confusion and yes I understand this due to limited
knowledge of R. I am working on that.
Thank you again.
On Sat, Oct 31, 2015 at 7:06 PM, Rolf Turner
wrote:
>
> Jim: I'm sure that this is much more sophisticated than anything that the
> OP ever dreamed of deal
Jim: I'm sure that this is much more sophisticated than anything that
the OP ever dreamed of dealing with. And irrespective of that, the
issue is not about there being more than two sexes in some contexts but
rather of the folly of treating categorical data as numeric.
Moreover your "neithe
Ted: You are either being deliberately obtuse or playing Devil's
advocate or just stirring. It is clear from his/her posts that the OP
has limited understanding of both R and statistics. Your sophisticated
philosophising about the possibility of "three sexes" is very unlikely
to have anyth
Having had to face this problem myself more than once, I sympathize with
Ted's argument. First let me confess that I regard sex as a measure of the
reproductive phenotype. Given the ongoing experimentation with both sex and
gender, I have had to add "U" (Unstated - includes all those acronyms that
On 31/10/2015 3:47 PM, (Ted Harding) wrote:
> [Apologies if the message below should arrive twice. When first
> sent there was apparently something wrong with the email address
> to r-help, and it was held for moderation because "Message has
> implicit destination" (whatever that means). I have mad
Thank you very much Ted for expressing my feeling!. I am working on field
data and the sex of an individual is not recorded sometimes and hence and
I give it a category of NA.
Thank you all for the help.
On Sat, Oct 31, 2015 at 2:47 PM, Ted Harding
wrote:
> [Apologies if the message belo
[Apologies if the message below should arrive twice. When first
sent there was apparently something wrong with the email address
to r-help, and it was held for moderation because "Message has
implicit destination" (whatever that means). I have made sure
that this time the email address is correct.]
Have you read [1]? Plotting usually comes after analysis, so if you haven't
pulled your data into R yet then there may yet be a huge number of possible
ways to proceed.
You should probably also read the Posting Guide mentioned at the bottom of
every email on this list. In particular, sending yo
You are describing an awkward way of doing this (and your example is unreadable
because you are not following posting instructions for the list) ... but the
following contains the essence of what I think is needed: parse() and eval().
v <- character()
v[1] <- sprintf("%d ^ %s", 2, "duck")
v[2]
I believe it is possible, but R is not really a full-fledged symbolic algebra
system so it wouldn't be an intuitive tool to use and what would you do with it
once you had it? It is much more useful in R to do something like
f1 <- function( M, A, B, C ) {
M %*% c( A, B, C )
}
m <- matrix( c(
Rolf gave you two ways. There are others. They all misrepresent the data (there
are only two sexes but you are effectively acting as if there are three); hence
the inquisition in hopes of diverting you to a more correct method of analysis.
However, this is not the support forum for whatever othe
Something like this?
http://stats.stackexchange.com/questions/12209/percentage-of-overlapping-regions-of-two-normal-distributions
Best,
Wolfgang
--
Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and
Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD
Ma
Hi Jeff,
I thought I answered. Yes I was not clear about it. The further analysis
will no be done by R. It is another software that will not accept a
character response variable.
Why R is so complicated to do that. If it is SAS then I can do it on one
statement. .
On Sat, Oct 31, 2015 at 11
You haven't actually answered John's question as to the type of analysis you
plan to do. It still looks from here like you should be using factor data
rather than numeric, but since you are not being clear we cannot give specifics
as to how to proceed.
---
Is
there a way to multiply a matrix
times
a vector of symbols?
For
instance, could I do this:
1
0 0 a
01
0 times b
-1 2
1 c
which
should result in :
Sent from Windows Mail
Hi,
I am looking for possible code (if any code exists) for creating a tree/
graphical representation of ancestral state reconstruction that clearly
highlights state-changes or where state changes are estimated? I am using
binary for my trait distinctions.
Dear all,
I have 2 data sets (A and B) with normal distributions. When I plot them
together, they overlay/share one part of plot.
I want to extract from each A and B that shared area.
Actually I want to sum A+B and then to compare the result with the
individual shared area of A and B to know how m
Hi All,
Yes I need to change to numeric because I am preparing a data set for
further analysis. The variable to be changed from character to numeric
(in this case, sex) will be a response variable. Some records have missing
observation on sex and it is blank.
id sex
1
2
> On 30 Oct 2015, at 18:46 , Daniel Wagenaar wrote:
>
> Dear R users:
>
> All textbook references that I consult say that in a nested ANOVA (e.g.,
> A/B), the F statistic for factor A should be calculated as
>
> F_A = MS_A / MS_(B within A).
>
That would depend on which hypothesis you test
In line.
John Kane
Kingston ON Canada
> -Original Message-
> From: valkr...@gmail.com
> Sent: Fri, 30 Oct 2015 20:40:03 -0500
> To: istaz...@gmail.com
> Subject: Re: [R] If else
>
> I am trying to change the mydata$sex from character to numeric
Why?
As Ista (mydata$confusingWillCaus
Remove show_guide = FALSE?
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playi
Hi C W,
I would guess you are trying to use the base graphics "legend" function.
Have you tried one of the scale_* functions in ggplot?
Jim
On Sat, Oct 31, 2015 at 3:10 PM, C W wrote:
> Hi,
>
> I am trying to do add a legend to an overplot, something like this:
>
> ggplot() +
> geom_densit
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