similar to: Fundamental formula and dataframe question.

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

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

> 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 <-

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

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

> 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 >>

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,

> 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

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

?? 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

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

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'

On Mon, Jun 20, 2016 at 10:06 PM, Davide Italiano <davide at freebsd.org> wrote: > On Sun, Jun 19, 2016 at 11:41 AM, vivek pandya via llvm-dev > <llvm-dev at lists.llvm.org> wrote: > > Hello, > > > > I build FireFox-46.0.1 source with llvm to test interprocedural register > > allocation. > > The build was successful with out any runtime faliures,

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

On Mon, Jun 20, 2016 at 4:14 AM, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: > Hi Vivek, > > [Dropping firefox-dev, since I don't want to spam them] > > vivek pandya via llvm-dev wrote: > > Measure W/O IPRAWITH IPRA > > ======================== > > Total Build Time76 mins82.3 mins8% increment > > Octane v2.0 JS Benchmark Score (higher is

Running R 2.5.1 on WinXP with Tinn-R, and using Sweave via MikTex. I am having trouble with the code below: ------------------------------------------------------- <<lowerCI95>>= lowerCI95713 <- t.test(data713, alternative="greater") lowerCI95713.bound <- lowerCI95713$conf.int[1] @ Thus a lower 95\% confidence bound on the mean octane concentration is

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

On Mon, Jun 20, 2016 at 10:05 PM, Sanjoy Das <sanjoy at playingwithpointers.com > wrote: > Hi Vivek, > > vivek pandya wrote: > > > For Octane and Kraken I have run them 4 times and above result is > > geometric mean. For Octane standard deviation (SD) is > > 918.54 (NO_IPRA) and 597.82 (With_IPRA). For Kraken unfortunately I > > don't have readings

Hello, I build FireFox-46.0.1 source with llvm to test interprocedural register allocation. The build was successful with out any runtime faliures, here are few stats: Measure W/O IPRA WITH IPRA ======= ======== ========= Total Build Time 76 mins 82.3 mins 8% increment Octane v2.0 JS Benchmark Score (higher is better) 18675.69 19665.16 5% improvement Kraken JS Benchmark time (lower is better)

Good Day: Has anyone successfully compiled R, especially R.1.1.1, for Irix 6.5 or lower (an SGI octane machine) and if so, may I get a copy of it? Our computer does not have all the requisite software for compiling R -- to wit, a fortran compiler -- and there is insufficient demand here for R to warrant purchasing a compiler from SGI. I am trying to spur demand for R here by making it more