On Sat, 08 Oct 2016, Bryan Mac writes:
> I am confused reading the document.
>
> I have installed and added the package (MASS).
>
> What is the function for LMS Regression?
>
In MASS, it is 'lqs'.
But the vignette provides a code example for how to
compute 'manually' an LMS-regression, i.e. ho
Well, first of all, note that there is no "lms" method for the stats
package's lm() function. You can't just make stuff up, you know!
And second, ?lmsreg -- after loading MASS via library(MASS), if you
haven't already done this after your install -- is what you want.
Other than ?lmsreg and what E
I am confused reading the document.
I have installed and added the package (MASS).
What is the function for LMS Regression?
Bryan Mac
bryanmac...@gmail.com
> On Oct 8, 2016, at 6:17 AM, Enrico Schumann wrote:
>
> On Sat, 08 Oct 2016, Bryan Mac writes:
>
>> Hi R-help,
>>
>> How do you p
On Sat, 08 Oct 2016, Bryan Mac writes:
> Hi R-help,
>
> How do you perform least median square regression in R? Here is what I have
> but received no output.
>
> LMSRegression <- function(df, indices){
> sample <- df[indices, ]
> LMS_NAR_NIC_relation <- lm(sample$NAR~sample$NIC, data = samp
Hello,
Use package quantreg, function rq().
install.packages("quantreg")
?rq
Hope this helps,
Rui Barradas
Citando Bryan Mac :
Hi R-help,
How do you perform least median square regression in R? Here is what
I have but received no output.
LMSRegression <- function(df, indices){
sampl
Hi R-help,
How do you perform least median square regression in R? Here is what I have but
received no output.
LMSRegression <- function(df, indices){
sample <- df[indices, ]
LMS_NAR_NIC_relation <- lm(sample$NAR~sample$NIC, data = sample, method =
"lms")
rsquared_lms_nar_nic <- summary(
6 matches
Mail list logo
