On Fri, 22 Sep 2023 10:12:51 +
"Milbert, Sabine (LGL)" wrote:
> Dear R Help Team,
In addition to other misapprehensions that others have pointed out, you
seem to have a fundamental misunderstanding of R-help (and perhaps of
R). There is no such thing as the "R Help Team". This is a *ma
That's embarrassing. Apologies for the garbles HTML posting. I'll see if
this is more readable:
On 9/23/23 05:30, Rui Barradas wrote:
Às 11:12 de 22/09/2023, Milbert, Sabine (LGL) escreveu:
Dear R Help Team,
My research group and I use R scripts for our multivariate data
screening routines.
В Fri, 22 Sep 2023 10:12:51 +
"Milbert, Sabine (LGL)" пишет:
> PS: If this is an issue based on the model training function of the
> caret package and therefore not your responsibility, please let us
> know.
Indeed, as Rui Barradas said, predict() is a generic function. Calling
it with your
On 9/23/23 05:30, Rui Barradas wrote:
> Às 11:12 de 22/09/2023, Milbert, Sabine (LGL) escreveu:
>> Dear R Help Team,
>>
>> My research group and I use R scripts for our multivariate data
>> screening routines. During routine use, we encountered some
>> inconsistencies within the predict() funct
Às 11:12 de 22/09/2023, Milbert, Sabine (LGL) escreveu:
Dear R Help Team,
My research group and I use R scripts for our multivariate data screening
routines. During routine use, we encountered some inconsistencies within the
predict() function of the R Stats Package. Through internal research,
Dear R Help Team,
My research group and I use R scripts for our multivariate data screening
routines. During routine use, we encountered some inconsistencies within the
predict() function of the R Stats Package. Through internal research, we were
unable to find the reason for this and have deci
trisgutt hotmail.com> writes:
>
> I am currently using a GLM with Gaussian family to model fish depth~length +
> distance from shore:
>
> model1 <- glm(Depth ~ length + distance from shore,
> family=gaussian(link="log"))
>
> There are no zero depths. I would like to use the above model with t
I am currently using a GLM with Gaussian family to model fish depth~length +
distance from shore:
model1 <- glm(Depth ~ length + distance from shore,
family=gaussian(link="log"))
There are no zero depths. I would like to use the above model with the
predict function in R to generate three lines
Maybe this is what you wanted :
Data <- structure(list(y = c(4.5, 4.5, 4.7, 6.7, 6, 4.4, 4.1, 5.3, 4, 4.2, 4.1,
6.4, 5.5, 3.5, 4.6, 4.1, 4.6, 5, 6.2, 5.9, 3.9, 5.3, 6.9, 5.7), lot = c(1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L), duration = c(0
I think you want CI's for intercepts, not "means" (what is a "mean"
for a line??). If so, the ?confint function will give this to you for
the lot effect estimates when applied to a model fitted without an
intercept:
myfit <-lm(y~ lot-1+time)
confint(myfit)
Further discussion should be directed
Hi all,
I have the following data in which there is one factor lot with six
levels and one continuous convariate time.
I want to fit an Ancova model with common slope and different intercept. So
the six lots will have seperate paralell
regression lines.I wanted to find the upper 95% confidence li
I recieved this response from the package authors:
This warning comes from the dismo package (predict with Mahanalobis object).
You can ignore it. It will go away with the next version of dismo (you can
get it from R-Forge).
So the problem is in dismo which has not been updated since raster has
Thank you.
Yes I have raised this question with the authors.
--
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Sent from the R help mailing list archive at Nabble.com.
__
R-help@
Hi,
I am having the same problem. I am running MaxEnt and using the Raster
package.
But when i try to extract the BIL-file from one RasterLayer:
str(pred@file@bandorder), and stack() this BIL-file with other environmental
variables but get the same error..
“In layerNames(x): the layerNames func
On Nov 27, 2012, at 2:33 PM, megmurr wrote:
Hey,
I am having troubles using the 'predict' function with in the Raster
package. I am using pm<-predict(mm, predictors) where mm is the
mahalanobis distance and the predictors are a stack of 6 raster layers
containing environmental variables.
Whe
On Nov 27, 2012, at 2:33 PM, megmurr wrote:
Hey,
I am having troubles using the 'predict' function with in the Raster
package. I am using pm<-predict(mm, predictors) where mm is the
mahalanobis distance and the predictors are a stack of 6 raster layers
containing environmental variables.
Whe
Hey,
I am having troubles using the 'predict' function with in the Raster
package. I am using pm<-predict(mm, predictors) where mm is the
mahalanobis distance and the predictors are a stack of 6 raster layers
containing environmental variables.
When I try to run the prediction I get the followin
>
> Can anybody help me or tell me how could I do to be able to generate the
> predictions?
>
> Best regards,
>
> Paul
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Using-the-R-predict-function-to-forecast-a-model-fit-with-auto-arima-function-tp4
ies, I really do not understand the reason
for that error message.
Can anybody help me or tell me how could I do to be able to generate the
predictions?
Best regards,
Paul
--
View this message in context:
http://r.789695.n4.nabble.com/Using-the-R-predict-function-to-forecast-a-model-fit-with-au
I've created a linear model and am trying to use the predict function to
predict the outcome of a sports game.
I have four explanatory variables a,b,c,d. where a,b relate to the home
team and c,d relate to the away team.
i'd like to know the probability that the home team wins (assuming no
draw
On Sun, Aug 14, 2011 at 7:55 PM, Darius H wrote:
>
>
>
>
>
>
>
>
>
The above whitespace comes about from posting to this list (which
converts emails to plaintext) in HTML. Please set future emails to
plain text (its under text formatting or something like that in
hotmail).
> Hi everyone,
>
> Do
Hi everyone,
Does anyone know how I can use the predict() function or anything similar in a
various packages to forecast future values of a system of equations in a list?
I keep getting an error message when I try to use the predict function and I
cannot find anything on the help arc
Hi,
I am using kmeans algorithm to cluster my training dataset.After the
model is generated, i need to apply it to my production dataset and see the
clusters it falls into.But, i am unable to find a predict function for
kmeans to do this. Could you please let me know if there is a predict
func
Hi,
I m working on time series forecasting.I was checking ARIMA and
GARCH model for forecasting.Is there any possibility that we can include
test data as input for predict function.I am working on real time
forecasting where i would be getting real time feeds using which i need
forecas
Why not use the x=T and y=T paramemters and see if :
linearmodel=lm(y~x, x=T, y=T)linearmodel$model
(linearmodel$model)
y x
1 2 1
2 4 2
3 6 3
4 8 4
5 10 5
give you useful results. If you want to interpolate or
extrapolate, then search for threads regarding those tasks.
--
David W
Dear List,
Consider the following example
x=c(1,2,3,4,5)
y=c(2,4,6,8,10)
linearmodel=lm(y~x)
To predict a y-value if you know the corresponding x value is very easy
with the command predict.
predict(linearmodel, newdata=(x=1.5))
The other way around, to predict an x-value with a correspondin
On Thu, Jan 22, 2009 at 10:48 PM, Chun Zhang wrote:
> Hi all,
> I am using cross-validation to validate a generalized linear mixed effects
> model fitted using glmmPQL. i found that the predict function has a problem
> and i wonder if anyone has encountered the same problem?
>
> glmm1 = glmmPQL(
Hi all,
I am using cross-validation to validate a generalized linear mixed effects
model fitted using glmmPQL. i found that the predict function has a problem and
i wonder if anyone has encountered the same problem?
glmm1 = glmmPQL(y~aX+b,random=~1|sample,data=traindata)
predict(glmm1,newdata=te
and, 4163
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-Original Message-
On Sat, Apr 12, 2008 at 1:06 PM, Biago <[EMAIL PROTECTED]> wrote:
>
> Hi all - my first time here and am having an issue with the Predict function.
>
> I am using a tutorial as a guide, locate here:
> http://www.ats.ucla.edu/STAT/R/dae/mlogit.htm
>
> My code gives this error
>
> > newdata1$pre
Hi all - my first time here and am having an issue with the Predict function.
I am using a tutorial as a guide, locate here:
http://www.ats.ucla.edu/STAT/R/dae/mlogit.htm
My code gives this error
> newdata1$predicted <- predict(mlogit,newdata=newdata1,type="response")
Error in `$<-.data.frame`
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