Displaying 20 results from an estimated 700 matches similar to: "plsr how to return my formula"
2011 Dec 01
1
question about plsr() results
Hi,
With some help I learned how to use plsr(Y~x, 2, data=my) function in R (and build "my" from vector "Y" and matrix "x").
But still I have question about results interpretation. In the end I want to construct prediction function in form:
Y=a1x1+a2x2
But I do not understand how to do it. Documentation do not describe this.
Thanks for help. ;)
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2007 May 25
2
R-About PLSR
hi R help group,
I have installed PLS package in R and use it for princomp & prcomp
commands for calculating PCA using its example file(USArrests example).
But How I can use PLS for Partial least square, R square, mvrCv one more
think how i can import external file in R. When I use plsr, R2, RMSEP it
show error could not find function plsr, RMSEP etc.
How I can calculate PLS, R2, RMSEP, PCR,
2004 Aug 15
3
Stacking Vectors/Dataframes
Hello,
Is there a simple way of stacking/merging two dataframes in R? I want to
stack them piece-wise, not simply add one whole dataframe to the bottom of
the other. I want to create as follows:
x.frame:
aX1 bX1 cX1 ... zX1
aX2 bX2 cX2 ... zX2
... ... ... ... ...
aX99 bX99 cX99 ... zX99
y.frame:
aY1 bY1 cY1 ... zY1
aY2 bY2 cY2 ... zY2
... ... ... ... ...
aY99 bY99 cY99 ...
2008 Mar 26
3
generate random numbers subject to constraints
I am trying to generate a set of random numbers that fulfill the following
constraints:
X1 + X2 + X3 + X4 = 1
aX1 + bX2 + cX3 + dX4 = n
where a, b, c, d, and n are known.
Any function to do this?
Thanks,
-Ala'
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2011 May 12
1
Fw: Help with PLSR
Hi
I am attempting to use plsr which is part of the pls package in r. I
amconducting analysis on datasets to identify which proteins/peptides are
responsible for the variance between sample groups (Biomarker Spoting) in a
multivariate fashion.
I have a dataset in R called "FullDataListTrans". as you can see below the
structure of the data is 40 different rows representing a
2011 May 17
1
Help with PLSR with jack knife
Hi
I am analysing a dataset of 40 samples each with 90,000 intensity measures for
various peptides. I am trying to identify the Biomarkers (i.e. most significant
peptides). I beleive that PLS with jack knifing, or alternativeley
CMV(cross-model-validation) are multivariateThe 40 samples belong to four
different groups.
I have managed to conduct the plsr using the commands:
BHPLS1 <-
2009 May 07
1
I need your help about plsr
Hi, I need your help, so I send letter to you.
I have a problem about plsr in pls package. I want to show how classfied or
related each ohter samples, so I tried to use plsr and biplot.
But, I failed. Because, I had to change data type of my sample.
Unfortunately, I didn't know how change data type.
I want you to help me about that.
please, help me.
I show you my sample data , my scripts
2011 May 13
1
PLSR error
Hi,
this is my R-Script
library(pls)
file <- "C:\\TXT\\brix.txt"
d <- as.matrix(read.table(file, header=T, sep=",", row.names = NULL))
plsdata <- data.frame(NIR=c(1:nrow(X)))
plsdata$NIR <- I(d[,3:603])
plsdata$Brix <- d[,2]
results <- plsr(Brix ~ NIR, data=plsdata)
after the last string i have this error
> results <- plsr(Brix ~ NIR, data=plsdata)
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 =
2005 Aug 27
1
PLSR: model notation and reliabilities
I'm new in both R and statistics. I "did my homework",
I tried the archives and whatever I managed to get
from the sources, but still I need assistance with
the plsr package.
I have a model with 2 core determinants D1 and D2,
made by 3 indicators each (D1a,D1b,D1c and so on).
Also I have 2 moderating variables (m1,m2), where
m1 moderates D1 and m2 modarates D2.
The dependent
2005 Sep 04
2
Help: PLSR
Hello,
I have a data set with 15 variables (first one is the response) and
1200 observations. Now I use pls package to do the plsr as below.
trainSet = as.data.frame(scale(trainSet, center = T, scale = T))
trainSet.plsr = mvr(formula, ncomp = 14, data = trainSet, method = "kernelpls",
model = TRUE, x = TRUE, y = TRUE)
from the model, I wish to know the
2012 Oct 04
1
data structure for plsr
I am having a similar problem understanding the data structure of the
"yarn" dataset described in the "[R] data structure for plsr" posts. I have
spectroscopic data I'd like to run through a PLSR and have read the
tutorial series, but still do not understand the data format required for
the code to process my data. My current data structure consists of a .csv
file read into
2010 Feb 21
2
cross-validation in plsr package
Dear readers,
can anyone give an example how to use cross-validation in the plsr package.
I miss to find the number of factors proposed by cross-validation as
optimum.
Thank you
Peter
--
View this message in context: http://n4.nabble.com/cross-validation-in-plsr-package-tp1563815p1563815.html
Sent from the R help mailing list archive at Nabble.com.
2011 May 17
1
help with PLSR Loadings
Hi
When I call for the loadings of my plsr using the command,
x <- loadings(BHPLS1)
my loadings contain variable names rather than numbers.
>str(x)
loadings [1:94727, 1:10] -0.00113 -0.03001 -0.00059 -0.00734 -0.02969 ...
- attr(*, "dimnames")=List of 2
..$ : chr [1:94727] "PCIList1" "PCIList2" "PCIList3" "PCIList4" ...
..$ : chr
2007 Oct 16
1
data structure for plsr
All,
I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read:
library(pls)
data(yard)
yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")
2011 Jun 08
1
Help with plotting plsr loadings
Hi
I am attempting to do a loadings plot from a plsr object. I have managed to do
this using the gasoline data that comes with the pls package. However when I
conduct this on my dataset i get the following error message.
>plot(BHPLS1, "loadings", comps = 1:2, legendpos = "topleft", labels = "numbers",
>xlab = "nm")
Error in
2009 Mar 03
3
PLS regression on near infrared (NIR) spectra data
Dear collegues,
I´ ve worked with near infrared (NIR) spectroscopy to assess chemical,
physical, mechanical and anatomical properties of wood.
I use "The Unscrambler" software to correlate the matrix of dependent
variables (Y) with the matrix of spectral data (X) and I would like to
migrate to R. The matrix of spectral variables is very large (2345 columns
and n lines, where n =
2011 Nov 30
1
Invalid number of components, ncomp
Error in mvr(Kd_nM ~ qsar, ncomp = 6, data = my, validation = "CV", method = "kernelpls") :
Invalid number of components, ncomp
How I can fix this?
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2005 Jan 05
1
TDM400P + Asterisk + zaptel timer ?
Hello, I thought that my Digium TDM400P would be the right hardware to
support the zaptel timer, and put the following IAX.CONF entry to test,
(trunk=yes) in the example below
[VHAX]
type=peer
auth=md5
username=whoknows
jitterbuffer=yes
;trunk=yes
secret=terriblesecret
host=4.5.6.7
qualify=1200
disallow=all
allow=ulaw
allow=gsm
;allow=g711u
;allow=g711a
But, it didn't work. So I had to
2008 Mar 06
2
Clustering large data matrix
Hello,
I have a large data matrix (68x13112), each row corresponding to one
observation (patients) and each column corresponding to the variables
(points within an NMR spectrum). I would like to carry out some kind of
clustering on these data to see how many clusters are there. I have
tried the function clara() from the package cluster. If I use the matrix
as is, I can perform the clara