Displaying 20 results from an estimated 631 matches for "nirs".
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2017 Jul 13
3
How to formulate quadratic function with interaction terms for the PLS fitting model?
I have two ideas about it.
1-
i) Entering variables in quadratic form is done with the command I
(variable ^ 2) -
plsr (octane ~ NIR + I (nir ^ 2), ncomp = 10, data = gasTrain, validation =
"LOO"
You could also use a new variable NIR_sq <- (NIR) ^ 2
ii) To insert a square variable, use syntax I (x ^ 2) - it is very
important to insert I before the parentheses.
iii) If you want to
2009 Oct 22
1
data frame is killing me! help
Usage
data(gasoline)
Format
A data frame with 60 observations on the following 2 variables.
octane
a numeric vector. The octane number.
NIR
a matrix with 401 columns. The NIR spectrum
and I see the gasoline data to see below
NIR.1686 nm NIR.1688 nm NIR.1690 nm NIR.1692 nm NIR.1694 nm NIR.1696 nm
NIR.1698 nm NIR.1700 nm
1 1.242645 1.250789 1.246626 1.250985 1.264189 1.244678 1.245913
2017 Jul 13
0
How to formulate quadratic function with interaction terms for the PLS fitting model?
Below.
-- Bert
Bert Gunter
On Thu, Jul 13, 2017 at 3:07 AM, Luigi Biagini <luigi.biagini at gmail.com> wrote:
> I have two ideas about it.
>
> 1-
> i) Entering variables in quadratic form is done with the command I
> (variable ^ 2) -
> plsr (octane ~ NIR + I (nir ^ 2), ncomp = 10, data = gasTrain, validation =
> "LOO"
> You could also use a new variable
2012 Oct 07
3
what exactly is the dim of data set yarn in package "pls"?
Hi list,
I am looking at the data yarn in package, I don't understand what is
dimension of this data set.
I did the following:
> library(pls)
> data(yarn)
> dim(yarn)
[1] 28 3
> head(yarn)
NIR.1 NIR.2 NIR.3 NIR.4 NIR.5 NIR.6 NIR.7 NIR.8 NIR.9
NIR.10 NIR.11
1 3.06630 3.08610 3.10790 3.09720 2.99790 2.82730 2.62330 2.40390 2.19310
2.00580 1.83790
2
2017 Jul 16
2
How to formulate quadratic function with interaction terms for the PLS fitting model?
> On Jul 13, 2017, at 7:43 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>
> Below.
>
> -- Bert
> Bert Gunter
>
>
>
> On Thu, Jul 13, 2017 at 3:07 AM, Luigi Biagini <luigi.biagini at gmail.com> wrote:
>> I have two ideas about it.
>>
>> 1-
>> i) Entering variables in quadratic form is done with the command I
>>
2017 Jul 13
2
Quadratic function with interaction terms for the PLS fitting model?
Dear all,
I am using the pls package of R to perform partial least square on a set of
multivariate data. Instead of fitting a linear model, I want to fit my
data with a quadratic function with interaction terms. But I am not sure
how. I will use an example to illustrate my problem:
Following the example in the PLS manual:
## Read data
data(gasoline)
gasTrain <- gasoline[1:50,]
## Perform
2017 Jul 13
4
Quadratic function with interaction terms for the PLS fitting model?
poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame.
The degree argument apparently *must* be explicitly named if NIR is
not a numeric vector. AFAICS, this is unclear or unstated in ?poly.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom
2017 Jul 16
0
How to formulate quadratic function with interaction terms for the PLS fitting model?
??
If I haven't misunderstood, they are completely different!
1) NIR must be a matrix, or poly(NIR,...) will fail.
2) Due to the previously identified bug in poly, degree must be
explicitly given as poly(NIR, degree =2,raw = TRUE).
Now consider the following example:
> df <-matrix(runif(60),ncol=3)
> y <- runif(20)
> mdl1 <-lm(y~df*I(df^2))
> mdl2
2005 Apr 21
1
Strange data frame
Hello,
I'm playing around with the PLS package and found a data set (NIR) whose
structure I don't understand. Forgive me if this is a stupid question,
as I feel like it must be since I am less experienced with aspects of
modeling.
My problem, the pls NIR data frame does not seem to be a typical data
frame as, while it is a list, its variables are not of equal length.
Furthermore, I have
2017 Jul 13
0
Quadratic function with interaction terms for the PLS fitting model?
> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote:
>
> Dear all,
>
> I am using the pls package of R to perform partial least square on a set of
> multivariate data. Instead of fitting a linear model, I want to fit my
> data with a quadratic function with interaction terms. But I am not sure
> how. I will use an example to
2017 Jul 13
0
Quadratic function with interaction terms for the PLS fitting model?
> On Jul 13, 2017, at 10:43 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>
> poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame.
> The degree argument apparently *must* be explicitly named if NIR is
> not a numeric vector. AFAICS, this is unclear or unstated in ?poly.
I still get the same error with:
library(pld)
data(gasoline)
gasTrain <-
2017 Jul 13
0
Quadratic function with interaction terms for the PLS fitting model?
Bert,
The 'degree' argument follows the "..." argument in the function declaration:
poly(x, ..., degree = 1, coefs = NULL, raw = FALSE, simple = FALSE)
Generally, any arguments after the "..." must be explicitly named, but as per the Details section of ?poly:
"Although formally degree should be named (as it follows ...), an unnamed second argument of length 1
2006 Feb 24
2
samba 3.0.21b glibc error
Hi all
I have samba 3.0.21b with openldap 2.3.19 on Redhat Enterprise Linux 4 ES
with Kernel Version 2.6.9-5.
i have allready posted this error in bugzilla, bug 3545
i have created 70 groups, (test1-test70), and created a user "nir" and made
"nir" member to these
70 groups.
>From Windows system it was the same error
""Remote procedure call was
2017 Jul 13
2
Quadratic function with interaction terms for the PLS fitting model?
Marc:
1. I am aware of the need to explicitly name arguments after ... --
see the R Language definition where this can be inferred from the
argument matching rules.
2. I am aware of the stated exception for poly(). However:
> x1 <- runif(20)
> x2 <- runif(20)
> mx <- cbind(x1,x2)
> poly(mx,2)
Error in poly(dots[[i]], degree, raw = raw, simple = raw) :
'degree'
2002 Nov 28
2
Trusted domains with Samba 3.0alpha21?
Hi there!
I appear to be having problems with trusted domains using 3.0a21.
Using Samba as a member server, as user "nirs" on domain "Exanet-il" I
am unable to log on to a member server ("snow") who is a member of the
"Exanet-qa" domain. The "exanet-qa" is supposed to trust "exanet-il",
and it all worked with 2.2 . This is the relevant log snippet I can
find:
[20...
2015 Nov 13
3
llvm TGSI backend (WIP) questions
On Fri, Nov 13, 2015 at 9:25 AM, Emil Velikov <emil.l.velikov at gmail.com> wrote:
> Hello Hans,
>
> Not to muddy the waters or anything, have you thought about the NIR
> integration that Rob was thinking about ?
> I'm pretty sure he'll be happy to have extra people helping him out.
How would that in any way plug into llvm or nouveau? There's no OpenCL
C ->
2005 May 12
1
pls -- crossval vs plsr(..., CV=TRUE)
Hi,
Newbie question about the pls package.
Setup:
Mac OS 10.3.9
R: Aqua GUI 1.01, v 2.0.1
I want to get R^2 and Q^2 (LOO and Leave-10-Out) values for each
component for my model.
I was running into a few problems so I played with the example a little
and the results do not match up with the comments
in the help pages.
$ library(pls)
$ data(NIR)
$ testing.plsNOCV <- plsr(y ~ X, 6, data =
2017 Jul 13
0
Quadratic function with interaction terms for the PLS fitting model?
Hi Bert,
Ok, to your initial point, the key nuance is that if 'x' is a vector, you can leave the 'degree' argument unnamed, however, if 'x' is a matrix, you cannot. That aspect of the behavior does not seem to change if poly() is called stand alone or, as suggested in ?poly, within a formula to be parsed.
Working on tracing through the code using debug(), the error is
2017 Jul 12
0
How to formulate quadratic function with interaction terms for the PLS fitting model?
Dear all,
I am using the pls package of R to perform partial least square on a set of
multivariate data. Instead of fitting a linear model, I want to fit my
data with a quadratic function with interaction terms. But I am not sure
how. I will use an example to illustrate my problem:
Following the example in the PLS manual:
## Read data
data(gasoline)
gasTrain <- gasoline[1:50,]
## Perform
2011 Jul 21
1
Error: bad index in plotmo functions for MARS model (package earth)
Hello all useRs,
I am tring make a simple surface plot ( 2 by 2 terms of a MARS model
(with earth package)
but I get the follow error message:
> plotmo( mars )
Error: bad index (missing column in x?)
I don't no how to workround this... :-(
I thanks in advanced by some help!
Thanks.
Cleber
###############
>
> ### example code:
> library( earth )
> data( gasoline,