> On Nov 9, 2015, at 9:19 AM, Adams, Jean wrote:
>
> Harun,
>
> Can you give a simple example?
>
> If your cross_section looked like this
> c(144, 179, 214, 39, 284, 109, 74, 4, 249)
> and your other vector looked like this
> c(0, 50, 100, 150, 200, 250, 300, 350)
> what would you want your su
HI Dennis and David
Thank you very much! I really appreciate that.
Now I am half way from my final goal. At the end what I would like is the
following output.
New_X1 New_X2 New_X3 Old X1
1 0 0 0_Abbot
2 0 0 1920_
I think you can use predict.psych() in package psych. Since you analyzed a
correlation matrix with fa() it does not have access to the original data.
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-Origin
Do you want the "closest" or what range it is in? If you want the range,
then use 'cut':
> x <- c(144, 179, 214, 39, 284, 109, 74, 4, 249)
> range <- c(0, 50, 100, 150, 200, 250, 300, 350)
> result <- cut(x, breaks = range)
> cbind(x, as.character(result))
x
[1,] "144" "(100,150]"
[2,] "1
Harun,
Can you give a simple example?
If your cross_section looked like this
c(144, 179, 214, 39, 284, 109, 74, 4, 249)
and your other vector looked like this
c(0, 50, 100, 150, 200, 250, 300, 350)
what would you want your subset to look like?
Jean
On Mon, Nov 9, 2015 at 7:26 AM, Harun Rashid v
I've tried others initial solutions and the adjustement was done to power model
in ggplot - geom_smooth.
But, with "nls" I can't do the confidence interval with ggplot - geom_smooth? I
read that with "nls" we have to force "se=FALSE". Is this true?
How can I draw confidence interval in the plot?
On 09 Nov 2015, at 11:10 , Pascal Oettli via R-help
wrote:
> Martin,
>
> Sorry, but what are you talking about ? Of course I know it is normal
> to get this result. It is what I explained in my message!
And Martin agreed/confirmed. Notice that "you" in English does not necessarily
refer to y
We are preparing an upgrade of the homals package on CRAN. The current
non-packaged version of the code, with theory and examples, is at
http://rpubs.com/deleeuw/87298. The new version implements principal component
analysis, (multiset) canonical correlation analysis, multiple regression
analy
Hi users of raster:
When a point lands within a raster cell, the cell is correctly identified.
But when a point lands on the border between two adjacent raster cells,
cell identity seems to be inconsistent. We are wondering if this is an
error?
Example code follows to demonstrate our question:
Hello,
I have a dataset with two columns 1. cross_section (range: 0~635), and
2. elevation. The dataset has more than 100 rows. Now I want to make a
subset on the condition that the 'cross_section' column will pick up the
nearest cell from another vector (say 0, 50,100,150,200,.,650).
How ca
Dear users,
Thanks for your attention. I’m running a glmm model using the glmmadmb function
provided in the package glmmADMB.
My dependent variable is the number of individuals belonging to a single
species of an aquatic insect, sampled throughout two non-consecutive years. The
samples were clas
Hello everybody,
I have a problem regarding factor analysis:
As I am using the hetmat()-function from the polycor-package in order to
calculate different kinds of correlation coefficients automatically* I
cannot obtain
factor scores using fit$scores. The problem is that I am using the
fa()-functio
Hi
I am not completely sure what do you want, so here is my guess.
> dat<-structure(list(Measure_id = c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4,
> 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4,
> 5), i = c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4,
It is not entirely clear what you are asking for. Can you provide a sample
of the output that you want from the data. Here is the data split by
Measure_id, but not sure what to do with it:
> split(x, x$Measure_id)
$`1`
Measure_id i j value rank
1 1 2 1 1.5 0.750
6
Dear group,
I have the following data freame
dput(df_all_nodes)
structure(list(Measure_id = c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1,
2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2,
3, 4, 5, 1, 2, 3, 4, 5), i = c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 5, 5, 5, 5,
Martin,
Sorry, but what are you talking about ? Of course I know it is normal
to get this result. It is what I explained in my message!
Regards,
Pascal
On Mon, Nov 9, 2015 at 6:19 PM, Martin Maechler
wrote:
>> Pascal Oettli via R-help
>> on Mon, 9 Nov 2015 14:18:37 +0900 writes:
>
> Pascal Oettli via R-help
> on Mon, 9 Nov 2015 14:18:37 +0900 writes:
> Dear Tom,
> Running R 3.2.2 on Ubuntu 15.04, if I run dev.list(), I get NULL.
Yes, indeed with all "regular" / "default" versions of R.
I you don't get that, you must have set something user-specific,
o
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