Hi Edzer-
Is it possible to block krige the entire area with "TransGaussian Kriging Using
Box-Cox Transforms” (i.e. krigeTg)? Also, I have seen in the argument section:
“block: does not function correctly, afaik” for krigeTg. But when I used the
“block” argument it gave me reliable results for
> On May 11, 2017, at 7:01 PM, Duncan Murdoch wrote:
>
> On 11/05/2017 2:36 PM, Antonio Silva wrote:
>> Hello r-users
>>
>> I want to plot some barplots inside a looping with the legend placed
>> outside the plotting area.
>>
>> No matter the number of bars I want
Hi abo,
I think you want to split your strings and do your matching like this:
x444<-read.table(text="w r
cyp3,cyp7 cyp2,cyp1,cyp3
cyp2 cyp2
c1,c3,c6 c6,c8,c5",
header=TRUE,stringsAsFactors=FALSE)
findMatches<-function(x,sep=",") {
matchval<-NA
x1bits<-unlist(strsplit(x[1],sep))
Hi Margot,
I'm not sure I understand your model, but if I make up some data in
which the response variable is vegetation cover and the three species
are:
A - eats one type of plant
B - eats another type of plant
C - preys on herbivorous insects
df<-read.table(text="field,propveg,A,B,C
1,1,0,0,1
On 11/05/2017 2:36 PM, Antonio Silva wrote:
Hello r-users
I want to plot some barplots inside a looping with the legend placed
outside the plotting area.
No matter the number of bars I want the legend to be placed centered on the
x-axis.
See the example below
for(i in 1:10) {
var_1 <-
Hi Antonio,
First you want the center of the plot:
xylim<-par("usr")
x_center<-sum(xylim[1:2])/2
Then as you want to have you legend above the plot:
# you will probably want to change the "20" to your preference
y_bottom<-xylim[4]+diff(xylim[3:4])/20
then:
Thanks for you attention Mark. Your approach is really very interesting. I
will try to apply it in my code.
All the best
Antonio
2017-05-11 16:19 GMT-03:00 Marc Schwartz :
>
> > On May 11, 2017, at 1:36 PM, Antonio Silva
> wrote:
> >
> > Hello
Hi All ..,
I have a table called "x444" and I would like to create a new column contains
the matched items in each row between column w & r . I used match()function as
below but this does not return the results I want because of 2 issues. The 1st
one is that this gives the row number of
What Rui said, but as important, you have four columns in your data called
"town", "year", "revenue", and "supply". You do not have a column called
"time".
-
David L Carlson
Department of Anthropology
Texas A University
College Station, TX 77840-4352
Hello,
A closure is, like you say, a function.
At an R prompt try:
> typeof(time)
[1] "closure"
So like Duncan suggested rename 'time', for instance capitalize it
'Time'. That should do it.
Hope this helps,
Rui Barradas
Em 11-05-2017 21:20, Tobias Christoph escreveu:
Hey Duncan,
thank
Hey Duncan,
thank you very much for your quick reply.
_My data used:_
1st column(town):1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,...,11
2nd column(year):1,2,3,4,5,6,7,8,9,10,11,12,1,2,3...,12
3rd column (revenue):
4th colum (supply):
I have now renamed my colums and did the regression
> On May 11, 2017, at 1:36 PM, Antonio Silva wrote:
>
> Hello r-users
>
> I want to plot some barplots inside a looping with the legend placed
> outside the plotting area.
>
> No matter the number of bars I want the legend to be placed centered on the
> x-axis.
>
> See
Hello r-users
I want to plot some barplots inside a looping with the legend placed
outside the plotting area.
No matter the number of bars I want the legend to be placed centered on the
x-axis.
See the example below
for(i in 1:10) {
var_1 <- sample(1000:10,sample(3:8,1))
ymax <- max(var_1)
> On May 11, 2017, at 9:33 AM, g.maub...@gmx.de wrote:
>
> Hi All,
>
> this post is somewhat off-topic cause it deals with a meta issue related to
> project organisation instead of real R code.
>
> I have updated my blog concerning a possible directory and file structure for
> marketing
Hi All,
this post is somewhat off-topic cause it deals with a meta issue related to
project organisation instead of real R code.
I have updated my blog concerning a possible directory and file structure for
marketing research projects and data mining projects alike:
On 11/05/2017 9:37 AM, Tobias Christoph wrote:
Hey,
I just have trouble adding a object specific time trend with the
plm-package. I recieve the following error:
*
**"Error in model.frame.default(terms(formula, lhs = lhs, rhs = rhs,
data = data, : invalid type for the variable 'time' "*
I used
Hello,
I have fields with species mixtures (for instance, species a, b, c, a+b, a+c,
b+c), and I look at the effect of each species on a response Y. More
specifically, I would like to compare the effect of individual species, either
alone or in mixture.
>Y = rnorm(18,0,1)
>mixture=
Hey,
I just have trouble adding a object specific time trend with the
plm-package. I recieve the following error:
*
**"Error in model.frame.default(terms(formula, lhs = lhs, rhs = rhs,
data = data, : invalid type for the variable 'time' "*
I used the formula:
/ FE_trend<- plm(log(revenue) ~
Bert:
My question implies that I read (consulted) the reference, as I cited
actual wordings of the reference.
Apparently, you think I am lazy, and dumb, and like to waste R-helpers'
time, as well as mine.
Thanks for your reply, quite helpful.
Bruce
~~
Bert
Dear David:
Thank you for your excellent reply.
Apparently, you are a in the know.
Again, thanks.
Bruce
__
Bruce Ratner PhD
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analytics -- www.DMSTAT1.com
Machine-Learning Data Mining -- www.GenIQ.net
> On May 11,
> On May 11, 2017, at 6:31 AM, Bruce Ratner PhD wrote:
>
> Bert:
> Not clear to me.
> Where mentioned are the functions similar to glm, if you please?
The basis for the similarity was stated as having an available link function
(and I suspected, an inverse as well.) I, for
Bert:
Not clear to me.
Where mentioned are the functions similar to glm, if you please?
Bruce
__
> On May 11, 2017, at 8:39 AM, Bert Gunter wrote:
>
> ?glmulti seems clear enough to me. If not, pls check the reference given
> therein.
>
> Bert
>
>> On
?glmulti seems clear enough to me. If not, pls check the reference given
therein.
Bert
On May 11, 2017 5:22 AM, "BR_email" wrote:
> Thanks, Bert. I would expect the list to include, at least lm. The
> reference states, "See Examples section."
> But, there is nothing in that
Thanks, Bert. I would expect the list to include, at least lm. The
reference states, "See Examples section."
But, there is nothing in that section or elsewhere!!
Bruce
Bert Gunter wrote:
Probably? :
All functions for which a link function of the response is modeled as
a linear predictor of
Hi
If the ribbon has constant "height" then this can be hacked by drawing a
bunch of ribbons (polygons) with different heights and slowly changing
colours. If the height of the ribbon varies, then you could use the
same approach and clip the result, with a little bit more work. The
R-helpers:
In the "glmulti" package, it states parameter fitfunction assumes
functions similar to glm, but doesn't list them.
What are the functions similar to glm that can be used with glmulti?
Bruce
__
R-help@r-project.org mailing list -- To
Dear All,
when I do :
set.seed(123)
expected_distribution<-rbinom(1000,100,.05)
#Without jitter
qqplot(jitter(expected_distribution),count1_vector, xlab="Expected
distribution",ylab="Observed values")
qqline(count1_vector,distribution = function(probs) { qbinom(probs,
size=100, prob=0.05)
Your code looks needlessly complicated and inefficient in my view.
Even if you don't need or use nested for loops it can still be simplified.
1: First define some new constants to avoid the the M? stuff in your function
pME <- ME[2:9]/ME[1]
pMI <- MI[2:9]/MI[1]
pMA <- MA[2:9]/MA[1]
pMAE <-
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