On 18/01/17 12:21, Jim Lemon wrote:
Hi all,
A few days ago I offered a suggestion on how to display the initial
values that were cut into a factor as a waffle plot. As Rolf Turner
noted, a major problem for users would be constructing the matrix that
was fed to the color2D.matplot function. Here
Hi Jake,
My mistake, that should be:
par(xpd=FALSE)
abline(lm(...))
par(xpd=NA)
I suspect that the odd looking regression lines are due to points off
the plot as you have specified xlim and ylim for your plots.
Jim
On Wed, Jan 18, 2017 at 2:22 PM, Jake William Andrae
Hi Jake,
In the second line of your script, you set xpd=NA. That means that
abline will draw a line across the entire display region rather than
restricting it to the plot region. If you must set this at the
beginning, then add these lines:
par(xpd=TRUE)
abline(lm(...))
par(xpd=NA)
for each
Hi Jake,
As I don't have your data set, try this:
attach(mtcars)
plot(mpg~disp,xaxs="i",yaxs="i")
abline(lm(mpg~disp))
Jim
On Wed, Jan 18, 2017 at 12:04 PM, Jake William Andrae
wrote:
> Hi Everyone,
>
>
>
> I've constructed a script that adds multiple plots to the
Hi Everyone,
I've constructed a script that adds multiple plots to the plot window, but I'm
having a bit of trouble adding a regression line to each individual plot. Of
course, the regression lines will vary depending on the variables plotted
against one another. I've attached the script.
Hi all,
Is there any differences in estimation results when using maxlik package in R
and other statistical software?
Thanks
Alaa
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Hi all,
A few days ago I offered a suggestion on how to display the initial
values that were cut into a factor as a waffle plot. As Rolf Turner
noted, a major problem for users would be constructing the matrix that
was fed to the color2D.matplot function. Here is a fairly general
purpose function
On 18/01/17 11:17, Neverstop . wrote:
Hello,
I have a dataset with many variables and I'd like to do dimensionality
reduction with Independent Component Analysis. There are many
statistical methods to estimate the latent variables of the ICA model.
I'm trying the R package "ProDenICA" that
Hello,
I have a dataset with many variables and I'd like to do dimensionality
reduction with Independent Component Analysis. There are many
statistical methods to estimate the latent variables of the ICA model.
I'm trying the R package "proDenICA" that implements the penalized
maximum
On 18/01/17 10:28, Marc Schwartz wrote:
Hi Val,
Alternatively, there are other Excel file I/O packages available on
CRAN if you would prefer to consider other options as well. They will
typically require Java being installed, rather than Perl, as I and
Greg do.
The read_excel() function
On Tue, 17 Jan 2017 12:45:10 -0400
Jim Silverton wrote:
> Dear all,
>
> I have 12 companies and I am developing a scale for innovation. I
> want to check the reliability of my scale. I delivered it to
> different (engineers, managers etc) people in each company and an
>
Hi Val,
Presuming that the Excel file that you are trying to read has a second
worksheet, which is what the read.xls() command you are using is trying to do,
the problem may be that XLSX file support has not been installed for the gdata
package, which is what I presume you are using. You do
Hi Marc and all,
Last time you suggest me to use WriteXLS function to write more than
65,000 row in excel. Creating the file worked fine. Now I wanted to
read it using the WriteXLS function but have a problem,. The file
has more than one sheets. Here is the script and the error message.
Dear all,
I'm running a meta-regression but, as a newbie, I'm facing few problems to
interpret the outputs from metareg.
I wonder if you can inform some literature where I can find how to
understand and interpret the meta-regression analysis from R.
These are the books/papers I have, but they
What you're doing makes no sense. Given p-values p_i, i=1...n, resulting
from hypothesis tests t_i, i=1...n, the q-value of p_i is the expected
proportion of false positives among all n tests if the significance level
of each test is α=p_i. Thus a q-value is only defined for an observed
p-value.
Hello,
I have found when using R in a unix environment that Sys.getenv("COLUMNS")
will return the current R terminal width. This does not work on a Window
OS. How can this be done?
I'm looking for the Windows OS equivalent of options(width=Sys.getenv("
COLUMNS"))
Thanks,
*Jared Studyvin, PhD *
Dear all,
I have 12 companies and I am developing a scale for innovation. I want to
check the reliability of my scale. I delivered it to different (engineers,
managers etc) people in each company and an unequal number of values.
For example:
Company 12 engineers 2 managers
Company 24
And (re: "dat[,ID]"), the page on "Extract or Replace Parts of an Object":
? Extract
-
David L Carlson
Department of Anthropology
Texas A University
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org]
Hello,
And in addition to what Jim and Petr said, take a look at ?%in%.
Rui Barradas
Em 17-01-2017 10:50, PIKAL Petr escreveu:
Hi
And above what Jim adviced you should look also at
?match
help page.
Cheers
Petr
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org]
Hi
And above what Jim adviced you should look also at
?match
help page.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Robert
> Piliero
> Sent: Monday, January 16, 2017 9:10 PM
> To: r-help@r-project.org
> Subject: [R] Receiving NaN
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