similar to: Leave one out Cross validation (LOO)

I tried to search for a string of words ``as one entity'' following the example in the help file: > RSiteSearch("{logistic regression}") and got the error message: 2008-09-11 08:55:41.356 open[823] No such file: /Users/rturner/http:/ search.r-project.org/cgi-bin/namazu.cgi?query={logistic+regression}

[If I knew who to report this to privately, I would. Sorry to embarrass anyone who's just trying to contribute to the R-project.] There seems to be some oddities with the RSiteSearch web page. When I enter 'RSiteSearch("console")' I'm taken to http://search.r-project.org/cgi-bin/namazu.cgi?query=console&max=20&resu

Hey all, I am trying to work under a State Space form, but I didn't get the help exactly. Have anyone eles used this functions? I was used to work with S-PLUS, but I have some codes I need to adpt. Thanks alot, Bernardo [[alternative HTML version deleted]]

I am working with transition matrices of sequences of animal behaviours. What I would like to do is parse the original matrices, adjusting row/column order so that the matrix has its main values in blocks surrounding the diagonal. This would cause behaviours involved in functional groupings (e.g. grooming, resting, foraging etc) to appear as blocks. This can be done manually by applying

Hi All, I have been trying to get this LOO-Cross Validation method to work on R for the past 3 weeks but have had no luck. I am hoping someone would kindly help me. Essentially I want to code the LOO-Cross Validation for the 'Local Constant' and 'Local Linear' constant estimators. I want to find optimal h, bandwidth. Thank you very much! -M -- View this message in context:

First, my site will be down December 27-28 because of a network upgrade at Penn. It will also be down at least one day before that, while I upgrade the operating system. (And another day some time in January because of a planned power outage.) Second, I have replaced the search engine in my R site: http://finzi.psych.upenn.edu/ I am now using Namazu instead of HtDig. The direct link to the

hi,R users, Now I have some scatter figures, is there some method can plot equalprobable error ellipse ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China [[alternative HTML version deleted]]

Hello! I need to use Kruskal-Wallis test and post-hoc test (Dunn's test) for my data. But when I searched around, I only found this function: kruskal.test. But nothing for Dunn's test. So I started to write one myself. But I do not know how to count ties in the data frame. I can use for loops but it seems long and unnecessary since the rank function actually knows the ties. So

Hi, I need to build ROC curve in R, can you please provide data steps / code or guide me through it. Thanks and Regards Rithesh M Mohan [[alternative HTML version deleted]]

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

hi, r users i have a problem with KNN. i have 2 datasets, X0 and X1. >dim(X0) >1471*13 dim(X1) >5221*13 and for every instances in the dataset X1, i want to find the nearest neighbour(1nn) in the dataset X0. and i dont have the true classifications of dataset X1. but the function knn() need true classifications(cl) to do prediction. i just curious if there are some other function

Hello 'R' Users, I am very new on 'R', so excuse me if I ask something wrong. I have ASCII data and the colums of the data are looks like :- !------------------------- time,yr,mo,dy,hr,min,sec,lat,lon,ht,co2obs,sigma,co2model -- - -- !---------------------------- Each column has data value. Now I want to produce 2-d color maps, for example the plot should look like :- on

> 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 >>

?? 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

Hello, I am trying to compile a file .Rd into .html using R CMD Rdconv -t=html /file.rd/>/file.html./ It seems that the process works ok but instead of having for example loo.cv(NMRTools) at the top of the html file I have loo.cv{unknown}. Any ideas on how to solve this? Best, Dani // -- Daniel Valverde Saub? Grup de Biologia Molecular de Llevats Facultat de Veterin?ria de la

While doing pls I found the following problem > BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >FALSE, validation = "LOO") when not enabling jackknife the command works fine, but when trying to enable jackknife i get the following error. >BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >TRUE,

Is there a function in R that will allow me to estimate the sample size required from count data (poisson data?), given the known variance and desired margin of error and confidence interval? My specific data set will be based on a survey of hikers that will be asked about the number of animals of species 'x' they observed during a given period. I need to know the number of hikers

Is there any R package addressing problems of constrained optimization ? I have the following "apparently" simple problem: Given a set V with fixed cardinality: nv Given a set S whose cardinality is a parameter: nHat Let the cardinality of the intersection S.and.V be: nHatv The problem consists of maximizing nHatv/nv subject to a penalty if nHat >

Do you know any good editor R? -- View this message in context: http://www.nabble.com/Editor-R-tp23822342p23822342.html Sent from the R help mailing list archive at Nabble.com.