similar to: What package I use to draw 3D plot after plsda?

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

Hi~ helpers. I was surprised by R data type. I use to data type like table. I don't know R allow several data type such as list, number, matrix in the same matrix. I want to use plsr in pls package to anlaysis data. So, I read R help and example of plsr. that example show me that data as yarn has three colname as NIR, density and train. the NIR was 268(No. of col) X 71(No. of row)

What function and package I use to conduct ordinal regression?? My data is composed 2colums and 180rows. The first colum indicate level of mass and second colum is intensity. So, I want to calculate how much intensity are related mass. [[alternative HTML version deleted]]

Hello, I would like to do a partial least square discriminant analysis (PLSDA) in R using the package "ropls" Which is in R available via the R command : source("https://bioconductor.org/biocLite.R") I try to do a PLSDA to illustrate the impact of two genders (AP,C) on 5 compounds measured in persons (samples) should be illustrated. When I try to do a PLSDA I get the warning

Hello, I would like to perform a Partial least square discriminate analysis (PLSDA) in R. To do this I use the package mixOmics. I could perform the PLSDA in R. however I would also like to perform a leave-one-out cross validation in order to assess the performance of my model. My supervisor told me that I should focus on the R2/Q2 ratios. However when I read the instruction for running the

Hello, I would like to do a partial least square discriminant analysis (PLSDA) in R using the package "ropls" Which is in R available via the R command : source("https://bioconductor.org/biocLite.R") When I try to do a PLSDA using my own data. The impact of two genders (AP,C) on 5 compounds measured in persons (samples) should be illustrated. When I try to do a PLSDA I get

Hi, Is there any R package doing permutation/randomization test for PLS/PLSDA? I found some codes for MatLab, but I want to use R program. Thank you very much in advance. Kohkichi Hosoda

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

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

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")

Hi, Currently I have a dataset of 2400*408. And I would like to apply PCR method to study the any correlation between the tests. My current data is in data.frame and I have formed horizontal(1-407) to be the exact data, and (408) to be my results data(Yes and No) I have also binarized these Yes and No to 1 and -1s. However, when I refer to PCR manual on R, the example of yarn.pcr <-

Hi, I have the following question about creating data frames. I want to create a data frame with 2 components: a vector and a matrix. Let me use a simple example: y <- rnorm(10) x <- matrix(rnorm(150), nrow=10) Now if I do dd <- data.frame(x=x, y=y) I get a data frame with 16 colums, but if, according to the documentation, I do dd <- data.frame(x=I(x), y=y) then str(dd)

Suppose there are 4 variables d is a function of a , b and c I want to know how a, b and c change will make d change It will be straightforward to see it if we can graph the d surface if d is only a function of a and b, I can use 'persp' to see the surface of d. I can easily see at what values of a and b, d will get the maxium or minium or multiple modes, etc But for 4 dimention graph,

Hi. I want to show easily classified samples in the one biplot. My samples have 14 types and each type have 21 samples So, I cannot understand distribution of samples after plsda. I want to give a color each types text in the graph. How can I do that? [[alternative HTML version deleted]]

Dear developeRs, I maintain a package 'pls', which has a main fit function mvr(), and functions plsr() and pcr() which are meant to take the same arguments as mvr() and do exactly the same, but have different default values for the 'method' argument. The three functions are all exported from the name space. In the 'pre namespace' era, I took inspiration from lm() and

On Thu, 24 Aug 2023 08:36:45 +0100, Lee Jones wrote: > This set is part of a larger effort attempting to clean-up W=1 > kernel builds, which are currently overwhelmingly riddled with > niggly little warnings. > > Cc: Alex Deucher <alexander.deucher at amd.com> > Cc: amd-gfx at lists.freedesktop.org > Cc: Ben Skeggs <bskeggs at redhat.com> > Cc: "Christian

I have three column vectors (X1, X2, X3).          X1  X2  X3        20   25  40        100 90  80 I want to put them as one matrix of dimention 2 by 3,  but remove headers(X1,X2,X3) from the matrix. I wrote as follows U<-cbind (X1,X2,X3) the headers are there. I need help please. Thanks Dereje [[alternative HTML version deleted]]

Dear list! I have run into a problem that seems very simple but I can't find any solution to it (have searched the internet, help-files and "An introduction to R" etc without any luck). The problem is the following: I would like to create a data.frame with two components (columns), the first component being a matrix and the second component a vector. Whatever I have tried so far, I

Hi, On Thu, Aug 24, 2023 at 10:59:54AM +0200, Maxime Ripard wrote: > On Thu, 24 Aug 2023 08:36:45 +0100, Lee Jones wrote: > > This set is part of a larger effort attempting to clean-up W=1 > > kernel builds, which are currently overwhelmingly riddled with > > niggly little warnings. > > > > Cc: Alex Deucher <alexander.deucher at amd.com> > > Cc:

Hi Thomas, Thank you for the patch. On Tue, Sep 15, 2020 at 04:59:57PM +0200, Thomas Zimmermann wrote: > The xlnx driver uses CMA helpers with default callback functions. > Initialize the driver structure with the rsp CMA helper macro. The > driver is being converted to use GEM object functions as part of > this change. > > Two callbacks, .dumb_destroy and .gem_prime_import,