similar to: Please need help to finalize my code

Hm. Google tells me that kernel function is in stats package which comes with base installation and is invoked when you start R. search() [1] ".GlobalEnv" "package:stats" "package:graphics" [4] "package:grDevices" "package:utils" "package:datasets" [7] "package:methods" "Autoloads"

What do you *mean* "when you want to use the kernels". WHICH kernels? Use to do WHAT? In your browser, visit cran.r-project.org then select "Packages" from the list on the left. Then pick the alphabetic list. Now search for 'kernel'. You will find dozens of matches. On Wed, 14 Oct 2020 at 05:15, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hm. Google tells

Hello. Here is my R code. I used the functional data . Now I need to use the functional data by applying the kernels instead of the xi, yi functions. Bonjour. Voici mon code en R . J'ai utiliser les donn?es fonctionnelles . Maintenant j'ai besoin d'utiliser les donn?es fonctionnelles en appliquant les noyaux ? la place des fontions xi, yi library(MASS)

OK - this is starting to get frustrating... Are there any known issues with 2.6.9 and traffic shaping? I am using 2.6.9 with geoip 20041115, and get odd oopses. The following script oopses my box: ----------------------------------------------------- #!/bin/sh -x IFOUT=''eth1'' IFIN=''eth0'' TC=''/sbin/tc''

The problem occurs when the sample odds ratio is Inf, such as in the following example. Given the fact that both upper bounds of the two 95% confidence intervals are Inf, I would have expected that the two lower bounds be equal, but they aren't. x <- matrix(c(9,4,0,2),2,2) x # [,1] [,2] #[1,] 9 0 #[2,] 4 2 rbind("two.sided.95CI"=fisher.test(x)$conf.int,

I'm wondering how odds ratio is computed. I thought that it is (n11/n12)/(n21/n22), but it is not what fisher.test() computes. Could somebody let me know? > n11=3 > n12=1 > n21=1 > n22=3 > > n1_=n11+n12 > n2_=n21+n22 > > n_1=n11+n21 > n_2=n12+n22 > > x=rbind(c(n11,n12),c(n21,n22)) > > threshold=dhyper(n11,n1_,n2_,n_1) >

** I am using the following way to get p-values from fiser exact test. However, I do need to print for each pair the values "n00, n01, n10, n11". How can I print that as a table and not a matrix as below along with the p-value? Any help will be greatly appreciated fish <- function(y, x) {n00 = sum((1-x)*(1-y)); n01 = sum((1-x)*y); n10 = sum(x*(1-y)); n11 = sum(x*y); a =

Good morning dear administrators, Please help me to code this code in R. I use in this file the redescription function ? which by making a scalar product gives a . You can also choose instead of the redescription function ? a kernel k(x,x). Sincerely [[alternative HTML version deleted]]

HI, You can do this in many ways: dat1<-read.table(text=" med1,med2,med3???? ?1,0,1?????? 0,1,1??? 2,0,0 ",sep=",",header=TRUE)?? #1st method library(reshape) dat2<-melt(dat1) dat3<-aggregate(dat2$value,by=list(dat2$variable),sum) ?colnames(dat3)<-c("name","sum(n11)") ?dat3 #? name sum(n11) #1 med1??????? 3 #2 med2??????? 1 #3 med3??????? 2

Hi, I have a R output that looks as follow: Rad:0 Rad1:2 Rad3:3 I want to make a new matrix that looks like : sample size is 2400 Variable    n11  n12 Rad            0     2400-0=2400 Rad1          2       2400-2 Rad3  3      2400-3   Thanks a lot for your time and help:) Best,Farnoosh Sheikhi [[alternative HTML version deleted]]

I evaluated the Bayes factor in the k=2 allele case with a "triangular" prior under the null as in the example in the help file: HWETriangBF2(nvec=c(88,10,2)) [1] 0.4580336 When I swap the n11 entry and n22 entry of nvec, I received totally different Bayes factor: > > HWETriangBF2(nvec=c(2,10,88)) [1] 5.710153 > In my understanding, defining the genotype frequency as

Wondering if I missed anything or if that's a problem with R: I want to have many x axis tickmarks and labels such that it makes sense to put them on multiple "lines". The newline character seems to be ignored though for axis labels: plot(1:33, axes=F) axis(1, 9, 9) axis(1, 11, "\n11") axis(1) # whereas title("one\ntwo") works as I expect it to work. In

Hello, I have a data with following format:      Predictors          n11     n12     n21     n22     Odds.Ratio    log.ratio    se.log.odds. 1 ProcOR respirato     2 ProcVaric vein      3 DiagCardiac anom   4 DiagAllergy        5  DiagOth skin dx    6    DiagGastritis          I want to plot odds ratio by command: forestplot in rmeta library, but I get the following error constantly.  Error in

Hi everyone, I'm using the function 'HWE.exact' of 'genetics' package to compute p-values of the HWE test. My data set consists of ~600 subjects (cases and controls) typed at ~ 10K SNP markers; the test is applied separately to cases and controls. The genotypes are stored in a list of 'genotype' objects, all.geno, and p-values are calculated inside the loop over all

Hi, I have a genotype data for both case and controls and would like to calculate the HW p-value. However, since the number of one genotype is 0, I got wired result. Would someone help me to figure it out? Or confirm it's right? Thanks a lot. ============ > library( "genetics" ) NOTE: THIS PACKAGE IS NOW OBSOLETE. The R-Genetics project has developed an set of enhanced

Without trying to understand your code in detail let me just assume you are trying to create a matrix, ret, whose i,j-th entry is some function, f, of row i of X and row j of X. In that case this should do it: apply(X,1,function(x)apply(X,1,function(y)f(x,y))) Date: Wed, 30 Jun 2004 15:28:47 -0300 (ART) From: <daniel at sintesys.com.ar> To: <r-help at stat.math.ethz.ch>

Hi everybody, I've been looking for a function that combines all variables from a dataset because I need to do multivariate regression. If we have linear regression with an expression like f(x) = a0 + sum(ai*xi) what I want to do is something like f(x) = a0 + sum(ai*xi) + sum(sum(bij * xi * xj)) + sum(sum(sum(cijk*xi*xj*xk))) + ... So I need a function that combines all the values from

Hi Dr. Snow, & R-helpers, Thank you for your reply! I hadn't heard of the {microbenchmark} package & was excited to try it! Thank you for the suggestion! I did check the reference source for which() beforehand, which included the statement to remove NAa, and I didn't have any missing values or NAs: sum(is.na(dat$gender2)) sum(is.na(dat$gender)) sum(is.na(dat$y)) [1] 0 [1] 0 [1]

Hi All, I need to be able to make sense from my shorewall logs. I have installed logwatch and it is mailing me reports but the level of detail is just not there. I have set the detail variable to High=10 but I get entries only from the DNS service about denied updates. What am I getting wrong? Tom, will you be kind enough to send me your logwatch config files? Thanks in advance. Ama

I have been trying to determine the size of the R user base, and was asked to share my findings with this mailing list. Although I still don't have any definite estimate of this number, I do have some interesting and indicative information: 1. It appears that there are about 100,000 S-PLUS users. Rationale: According to Insightful's 2002 Annual Report, over 100,000 people use