Hi Sarah Goslee and Duncan Murdoch
Thank you so much for your answers. Now I can plot the surface needed.
Best regards,
Nhat Tran.
Vào Th 3, 27 thg 11, 2018 vào lúc 00:17 Duncan Murdoch <
murdoch.dun...@gmail.com> đã viết:
> On 26/11/2018 7:13 AM, Thanh Tran wrote:
> > Dear all,
> >
> >
> >
> >
R-experts,
I still can't get the nonparametric studentized bootstrapped CIs. How can I
solve the problem ?
Here is the reproducible example :
# # # # # # # # # # # # # # # #
library(ISLR)
library(earth)
library(boot)
# function to obtain MSE
MSE <- function(data, indices, formula) {
d
Thanks very much.
Best regards,
Tosin Olofinsao
On Nov 26, 2018 6:04 PM, "David L Carlson" wrote:
> Perhaps you mean the censReg function in the censReg package? You obtain
> it using install.packages("censReg") and then loading it with
> library(censReg). As for other Tobit regression packages,
Hello David, Peter,
Thank you so much for taking the trouble to look into this. The user guide
for the *boot.two.per* function contains this statement:
*Obtains an independent-samples confidence interval and (optionally)
performs an independent samples*
*hypothesis test for the difference betwee
a) You had to go out of your way to even install this package... it is lonly
available on R-forge. This kind of question seems likely to require support
from the package author. (Use the"maintainer" function to identify the author.)
b) You may find a similar functionality in a CRAN package. Try
Perhaps you mean the censReg function in the censReg package? You obtain it
using install.packages("censReg") and then loading it with library(censReg). As
for other Tobit regression packages, Google "tobit regression r" works very
well.
Your question suggests that you are just learning about R
http://lmgtfy.com/?q=cenReg
Notice that you will need to use the install.packages function to install the
package, and then the library function to attach it to the function search path.
On November 26, 2018 8:10:44 AM PST, Olofinsao Tosin
wrote:
>Greetings.
>
>Please I need cenReg function an
Greetings.
Please I need cenReg function and every package useful for Tobit regression
on R.
Kindly provide me the link for the download or attach the zip file to this
mail.
I expect your positive response soon.
Thank you very much.
Best regards,
Tosin Olofinsao
[[alternative HTML ver
On 26/11/2018 7:13 AM, Thanh Tran wrote:
Dear all,
I'm trying to plot a surface over the x-y plane. In my data, the response
is KIC, and four factors are AC, AV, T, and Temp. A typical second-degree
response modeling is as follows
data<-read.csv("2.csv", header =T)
mod <-
lm(KIC~AC+I(AC
Hi,
Checking the help for persp shows that it doesn't take a data
argument. Assuming the rest of your code is correct (since no
reproducible example, it's impossible to check), you could do
with(data, persp(AC,AV,KIC~ AC + I(AC^2) + AV + I(AV^2) + AC:AV,image
= TRUE,theta=30))
But. I highly doub
Hi Farzaneh
If someones answer your question, they will send to your email that you
used in the system.
Best regards,
Nhat Tran.
Vào Th 2, 26 thg 11, 2018 vào lúc 21:20 Ahmadzadeh Siahrood Farzaneh <
farzaneh.ahmadza...@scania.com> đã viết:
> Hi Tran ,
> It is not relevant to your answer but I
Dear all,
I'm trying to plot a surface over the x-y plane. In my data, the response
is KIC, and four factors are AC, AV, T, and Temp. A typical second-degree
response modeling is as follows
> data<-read.csv("2.csv", header =T)
> mod <-
> lm(KIC~AC+I(AC^2)+AV+I(AV^2)+T+I(T^2)+Temp+I(Temp^2)+A
This could possibly be a botched attempt at telling "the system" that one could
use proportion() as synonymous with mean(). That would obviously fail due to
scoping rules, but maybe an earlier version used <<- (?). Anyways, you could
take the hint: proportions are just means of 0-1 variables...
I am trying to execute gamlss's zero-inflated beta regression model as
below> It works fine with variable V255 but through an error for simialr
variable V256 as
Error in glim.fit(f = nu.object, X = nu.X, y = y, w = w, fv = nu, os =
nu.offset, :
object 'fit' not foundim.fit. Object
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