Error In Is.data.framex Subscript Out Of Bounds
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Error In * Tmp * Subscript Out Of Bounds
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Subscript Out Of Bounds R Studio
favorite I am working on a text mining project using to classify test using Naive Bayes. When I build a Naive Bayes classifier using classifier<-naiveBayes(training, type) then run the predict function on test data: pred <- predict(classifier, test) I get: Error in object$tables[[v]][, nd] : subscript out of bounds What would be the cause of this error? r statistics text-mining share|improve this question edited May 9 '15 at 22:28 asked May solving problems of subscript out of bounds in r 9 '15 at 22:15 alandalusi 4303630 2 Please provide a reproducible example. –Molx May 9 '15 at 23:38 add a comment| 1 Answer 1 active oldest votes up vote 0 down vote The training and testing data was a Matrix of Characters. When I converted into Numeric, I never faced this problem again. share|improve this answer answered May 13 '15 at 13:15 alandalusi 4303630 add a comment| Your Answer draft saved draft discarded Sign up or log in Sign up using Google Sign up using Facebook Sign up using Email and Password Post as a guest Name Email Post as a guest Name Email discard By posting your answer, you agree to the privacy policy and terms of service. Not the answer you're looking for? Browse other questions tagged r statistics text-mining or ask your own question. asked 1 year ago viewed 802 times active 1 year ago Blog Stack Overflow Podcast # 90 - Developer Stories, Charger Butts, and Joel's… Bye Bye, Bullets: The Stack Overflow Developer Story is the New Technical Resume Linked 1536 How to make a great R reproducible example? Related 0“Subscript out of bounds” when using effects package1naiveBayes using a word matrix and 3+ classes for prediction0predict function in betategarch package gives error sub
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Error During Wrapup: Subscript Out Of Bounds
Challenge Subscript out of bounds error on NaiveBayes Start Watching « Prev Topic » Next rbind subscript out of bounds Topic 0 votes I am attempting to build a Naive Bayes model. I am using the NaiveBayes function from klaR package but can't subscript out of bounds shiny seem to produce a model. I load the data and create the model successfully, however when I use the predict function I get the following message: Error in object$tables[[v]][, nd] : subscript out of bounds In addition: Warning http://stackoverflow.com/questions/30145602/subscript-out-of-bound-error-when-running-predict-function-in-r messages: 1: In FUN(1:58921[[3L]], ...) : Numerical 0 probability for all classes with observation 1 2: In FUN(1:58921[[3L]], ...) : Numerical 0 probability for all classes with observation 2 I appreciate this is a novice question, but I have searched the internet (stackexchance, cross validation etc) and am still stuck, so any assistance would be much appreciated. #1 | Posted 3 years ago Permalink soates Posts 63 | Votes 70 Joined 4 Nov '11 | https://www.kaggle.com/c/amazon-employee-access-challenge/forums/t/4804/subscript-out-of-bounds-error-on-naivebayes Email User 1 vote My guess is that there are categories in the test data that are not in the training data. A way to deal with this in R is to combine the training and test sets into one dataset, then declare the variables as factors. After doing that, split the training and test into separate data frames again. This ensures that all the levels that are in either the training or test sets are known to exist and the naive Bayes function can give a 0 (or something) to the ones that aren't in the training set. If this still doesn't work, I would suggest looking for a different implementation of naive Bayes. #2 | Posted 3 years ago Permalink Andrew Landgraf Posts 15 | Votes 11 Joined 18 Aug '10 | Email User 0 votes Thanks so much for replying so quickly. As a novice the problem of unseen levels has definitelybeen a barrier to creating entries so its great to hear a solution! Of course I now feel dumb for not thinking of it myself. #3 | Posted 3 years ago Permalink soates Posts 63 | Votes 70 Joined 4 Nov '11 | Email User Reply You must be logged in to reply to this topic. Log in » Flagging notifies Kaggle that this message is spam, inappropriate, abusive, or v
Sign in Pricing Blog Support Search GitHub This repository Watch 250 Star 1,947 Fork 1,071 rstudio/shiny Code Issues https://github.com/rstudio/shiny/issues/1199 189 Pull requests 5 Projects 0 Wiki Pulse Graphs New issue subscript out of bounds #1199 Closed abiyug opened this Issue May 26, 2016 · 8 comments Projects None yet Labels None yet Milestone No milestone Assignees No one assigned 3 participants abiyug commented May 26, 2016 I am trying to subscript out run a reactive shiny app, and keep getting 'subscription out of bound' error. Warning: Error in .subset2: subscript out of bounds Stack trace (innermost first): 86: reactiveValuesToList 85: as.data.frame Tried to get answer from the community on google and stackoverflow, but no answers. And I am reading that this maybe a bug on renderTable or subscript out of shiny. Here is the full code to recreate. library(shiny) library(stats) ui <- fluidPage( h1("Temp Predictor for US Mainland"), sidebarLayout( sidebarPanel( numericInput( "new_lat", "Enter latitude between 20 and 60:", 21 ) ), mainPanel( plotOutput("table") ) ) ) server <- function(input, output, session) { load("regression.lm.RData") lat <- reactive({ as.data.frame(reactiveValuesToList(input$new_lat)) }) output$table <- renderTable( predict(regression.lm, lat()) ) } shinyApp(ui, server) abiyug changed the title from Subscript subscript out of bounds to subscript out of bounds May 26, 2016 bborgesr commented May 27, 2016 It looks like the problem is the way you're using reactiveValuesToList(). You cannot pass input$new_lat on to reactiveValuesToList() because input$new_lat is not a reactivevalues object. You can check this yourself by running is.reactivevalues(input$new_lat) and printing the result somewhere inside your server function. But, in any case, I'm a little confused as to what exactly are you trying to do there? input$new_lat is a number -- are you trying to convert it to a 1x1 dataframe? Or do you want to