search for: naiv

Hi, I have a small doubt regarding naive Bayes. I am able to classify the data's properly but i am just stuck up with how to get the probability values for naive bayes. In the case of SVM we have "attr" function that helps in displaying the probability values. Is there any function similar to "attr" in naive Bayes...

Several bugs are present in R-2.15.3 and R-alpha due to naive copying of list elements. The bug below is due to naive copying in subset.c (with similar bugs for matrices and arrays): a<-list(c(1,2),c(3,4),c(5,6)) b<-a[2:3] a[[2]][2]<-9 print(b[[1]][2]) Naive copying in mapply.c leads to the following bug: X<-1+1 f<-function(a,b) X A<-ma...

...duced by nls(). I suspect that I am just misinterpreting the gnls() output and could use a little guidance. Here's the data I am trying to fit: ------------------------------------ > myPbmcData Grouped Data: lnCount ~ Time | Type Time Mouse Count Type lnCount 1 0 T0-1 37.6 Naive 3.627004 2 0 T0-2 23.6 Naive 3.161247 3 0 T0-3 49.2 Naive 3.895894 4 8 T8-1 20.8 Naive 3.034953 5 8 T8-2 26.9 Naive 3.292126 6 8 T8-3 34.0 Naive 3.526361 7 24 T24-1 36.8 Naive 3.605498 8 24 T24-2 34.0 Naive 3.526361 9 24 T24-3 19.6 Naive 2.975530 1...

Dear r-users, I am looking for an implementation of the Naive Bayes classifier for a multi-class classification problem. I can not even find the Naive Bayes classifier for two classes, though I can not believe it is not available. Can anyone help me? Uschi -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing li...

hi there!! i am trying to implement the code of the e1071 package for naive bayes, but it doens't really work, any ideas?? i am very glad about any help!! i need a naive bayes with 10-fold cross validation: code: library(e1071) model <- naiveBayes(code ~ ., mydata) tune.control <- tune.control(random = FALSE, nrepeat = 1, repeat.aggregate = min, sampling = c(...

Hi, Currently I testing the packets that contain built-in features for classification. Actually I looked packages such as: e1071, Klar, Caret, CORElearn. However, from what I noticed when building a naive Bayesian classifier, that they package use of the finite mixture model to estimate P (x | C) and using a normal distribution. In my research I use binary data and I want modeled P (x | C), eg the Poisson distribution. Are the packages in the r-project that allows for replacing kernel to estimate P...

I am wondering if anybody here have a simple example in R for Naive Bayes. For example, I can do k-means clustering on the "iris" data - data(iris) cl <- kmeans(iris[,1:4], 3) cl$cluster cbind(1:150,iris$Species) =========== But how to do Naive Bayes classification in the same "iris" data? Many thanks! -- View this message in conte...

Howdy everyone I?m trying to get Odds ratio and OR confidence intervals using a probit model, but I'm not getting. Do you think you can help me? I?m new with R L naive = summary(glm(pcr.data[,7]~boldBeta_individual+pcr.data$age,family=binomial(link=probit))) naive_answer = c(naive$coefficients[,1:3]) #naive estimates for #alpha...

...[R] Odds Ratio and OR CI > > Howdy everyone > > > > I?m trying to get Odds ratio and OR confidence intervals using a probit > model, but I'm not getting. > > > > Do you think you can help me? > > > > I?m new with R L > > > > naive = > summary(glm(pcr.data[,7]~boldBeta_individual+pcr.data$age,family=binomial(link=probit))) > > naive_answer = c(naive$coefficients[,1:3]) > #naive estimates for > > > #alpha (first 4 collumns: intercept; beta_intercept, beta_slope and age) &gt...

The 3.2.4-revised version turned out to give trouble for some of CRAN's subsystems. Accordingly, a rebadged version 3.2.5 is now released; it only differs in the version number and a few clean-up items. If you have a working install of 3.2.4-revised there should be no reason to upgrade it. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.2.5.tar.gz or wait for it

Dear R-user: After the fitting the Tobit model using zelig, if I use the following command then I can get the regression coefficents: beta=coefficients(il6.out) > beta (Intercept) apache 4.7826 0.9655 How may I extract the "Naive SE" from the following output please? > summary(il6w.out) Call: zelig(formula = il6.data$il6 ~ il6.data$apache, model = "tobit", data = il6.data, robust = TRUE, cluster = "il6.data$subject", weights = il6.data$w) Value Std. Err (Naive SE)...

Hi there Sorry for what may be a naive or dumb question. I have the following data: > x <- c(1,2,3,4) # predictor vector > y <- c(2,4,6,8) # response vector. Notice that it is an exact, perfect straight line through the origin and slope equal to 2 > error <- c(0.3,0.3,0.3,0.3) # I have (equal) ``errors'...

...ur of any shared linked > SUID binary. > > hd > > [0] https:///www.halfdog.net/Security/2018/OpensshSftpChrootCodeExecution/ > Hello halfdog, I was not aware that a sftp-only access does execute code/scripts from these directories. I look at this from the point of view of a naive sftp user. If a naive sftp user get access to a machine, then he thinks the directory belongs to him and he can write and delete whatever he wants. I don't know much about the internals of sftp, but I think the point of view of a naive sftp user is valid. I guess there is no distinction bet...

...kipedia.org/wiki/Carry-less_product >> [2] (page 30) https://raw.githubusercontent.com/riscv/riscv-bitmanip/master/bitmanip-0.92.pdf >> [3] https://www.bearssl.org/constanttime.html > > What benefit would this intrinsic would bring to the middle-end IR, > over it's current naive expanded form? Isn't a "naive" expansion of NxN carryless multiply extremely involved? I'd expect something like 2N shifts, N truncs, N selects, and N xors. That link mentions an alternative that is more efficient, but I wouldn't exactly call it naive... Cheers, Nicolai...

Hi, and my apologies for the following very naive question : I would like to read a column of numbers in R and plot a histogram. eg : x<-read.table("txSTART"); y<-as.numeric(x); and I do obtain the error : Error: (list) object cannot be coerced to type 'double'. Please could you let me know the way to fix it. thanks,...

Hi, I need to classify, using Naive Bayes and Bayes Networks, and estimate their performance using cross validation. How can I do this? I tried the bnlearn package for Bayes Networks, althought I need to get more indexes, not only the error rate (precision, sensitivity, ...). I also tried the *e1071* package, but I could not find a...

Hi, The standard error from logistic regression is slightly different from the naive SE from GEE under independence working correlation structure. Shouldn't they be identical? Anyone has insight about this? Thanks, Qiong a<-rbinom(1000,1) b<-rbinom(1000,2,0.1) c<-rbinom(1000,10,0.5) summary(gee(a~b, id=c,family="binomial",corstr="independence"))...

Hi, I have written a code in R for classifying microarray data using naive bayes, the code is given below: library(e1071) train<-read.table("Z:/Documents/train.txt",header=T); test<-read.table("Z:/Documents/test.txt",header=T); cl <- c(c(rep("ALL",10), rep("AML",10))); cl <- factor(cl) model <- naiveBayes(train...

Hallo! I would need a code for 10-fold cross validation for the classifiers Naive Bayes and svm (e1071) package. Has there already been done something like that? I tried to do it myself by applying the tune function first: library(e1071) tune.control <- tune.control(random =F, nrepeat=1, repeat.aggregate=min.,sampling=c("cross"),sampling.aggregate=mean, cross=10,...

Hi, Sorry for the question, but there is any package that contains the Naive Bayes classifier? Thanks Hugo -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the sub...