Error In Data.frame Undefined Columns Selected R
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Error In `[.data.frame`(y.data, , Mediator) : Undefined Columns Selected
a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Undefined columns selected when subsetting data undefined columns selected r predict frame up vote 30 down vote favorite 10 I have a data frame, str(data) to show more about my data frame the result is the following: > str(data) 'data.frame': 153 obs. of 6 variables: $ Ozone : int 41 36 12 18 NA 28 error in data frame object not found 23 19 8 NA ... $ Solar.R: int 190 118 149 313 NA NA 299 99 19 194 ... $ Wind : num 7.4 8 12.6 11.5 14.3 14.9 8.6 13.8 20.1 8.6 ... $ Temp : int 67 72 74 62 56 66 65 59 61 69 ... $ Month : int 5 5 5 5 5 5 5 5 5 5 ... $ Day : int 1 2 3 4 5 6 7 8 9 10 ... However, for example, when I want to subset the
Error In View Undefined Columns Selected
amounts of Ozone above 14 I use the following code which gives me an error: > data[data$Ozone > 14 ] Error in [.data.frame(data, data$Ozone > 14) : undefined columns selected database r statistics analytics share|improve this question edited Jun 3 at 5:48 zx8754 16.1k63061 asked Oct 6 '13 at 5:40 CreamStat 5784824 7 you're missing a comma. The error is telling you that you did not indicate which columns to include in your subset. –Ricardo Saporta Oct 6 '13 at 5:52 1 In other words, remember data frame references need row and column identifiers. You can select only one column or all columns, but you need to indicate what you want. –Scott Wilson Feb 14 '15 at 16:14 3 I'm working on the same assignment, so I know this is homework. Weak sauce. –Brian MacKay Jul 11 '15 at 19:48 add a comment| 1 Answer 1 active oldest votes up vote 64 down vote accepted You want rows where that condition is true so you need a comma: data[data$Ozone > 14, ] share|improve this answer answered Oct 6 '13 at 5:48 Ari B. Friedman 36.6k12122183 3 Why... this syntax makes no sense to me –Reinderien May 11 '15 at 4:56 @Reinderien It's a common way of indexing arrays. Check out the old school R documentation, which is actually really good at teaching data structures. –Ari B. Friedman May 12 '15 at 11:41 I get everything but the comma. –Reinderien May 12 '15 at 14:00 1 dat[ 1, 2 ] gives you the entr
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the shiny undefined columns selected workings and policies of this site About Us Learn more about Stack error in data.frame arguments imply differing number of rows Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions
Error In $ -.data.frame Replacement Has Rows Data Has
Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join http://stackoverflow.com/questions/19205806/undefined-columns-selected-when-subsetting-data-frame them; it only takes a minute: Sign up Undefined column selected in R up vote -1 down vote favorite The error I got was "Error in '[.data.frame'(current_dataset, complete.cases(current_dataset)) :undefined columns selected". I tried to find the problem but can't figure it out. What I want the function to do: First, it is goes through several files that contain sulfate http://stackoverflow.com/questions/24234178/undefined-column-selected-in-r and nitrate information for different locations. These files all contain 'csv' so myfiles will be used as a vector to easily refer to files. Then I want to loop through the 332 files, read it, and check if there are enough complete cases (this number is an argument in the function). If that's the case, I want to add all complete cases (sulfate and nitrate data) to a data frame that was defined previously. Finally I want to return the correlation between sulfate and nitrate. corr <- function(directory, threshold = 0) { #store data frame that holds sulfate amount and nitrate amount that meet threshold and are complete cases data <- data.frame(sulfate = numeric(0), nitrate = numeric(0)) #set working directory setwd(directory) #get file names myfiles <- list.files(pattern = "csv") #loop through files for(i in 1:332) { #read each file current_dataset <- read.csv(myfiles[i]) #check if there are enough compelte cases to meet threshold if(sum(complete.cases(current_dataset)) > threshold) { #get complete cases complete_cases <- current_dataset[complete.cases(current_dataset)] #add sulfate and nitrate info to table data <- rbind(data, data.frame(sulfate = complete_cases$sulfa
multcomp gives unexpected p=1 for all comparisons Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] On Nov 18, 2012, at 6:34 https://stat.ethz.ch/pipermail/r-help//2012-November/341172.html PM, Eiko Fried wrote: > When I run this script on 9 variables, it works without problems. > > Z <- > data > [,c > ("s1_1234_m > ","s2_1234_m > http://stats.stackexchange.com/questions/4401/make-r-report-error-on-using-non-existent-column-name-in-a-data-frame ","s3_1234_m > ","s4_1234_m > ","s5_1234_m","s6_1234_m","s7_1234_m","s8_1234_m","s9_1234_m" > )] > > However, when I run the script on 9 different variables, it does not > work: > Z <- > data > error in [,c > ("d_s1_m > ","d_s2_m > ","d_s3_m","d_s4_m","d_s5_m","d_s6_m","d_s7_m","d_s8m","d_s9m" > )] > > Error in `[.data.frame`(data, , c("d_s1_m", "d_s2_m", "d_s3_m", > "d_s4_m", > : > undefined columns selected You have probably misspelled one or more the column names. For instance I suspect that one or both of these might be lacking a second "_" : "d_s8m","d_s9m" If you feel thsi is wrong undefined columns selected then you at the very least need to offer str(data) BTW, data is the name of a perfectly good function, so naming your dataframe "data" is likely to create confusion. -- David. > > The first 9 variables are between 0 and 3, there are no missing > values in > the dataset. > > The second 9 variables are between -3 and 3, there are no missing > values in > the dataset. > > I am pretty new to R and have no idea what could cause this error. > > Thank you > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. David Winsemius, MD Alameda, CA, USA Previous message: [R] Error in `[.data.frame`... undefined columns selected Next message: [R] glht function in multcomp gives unexpected p=1 for all comparisons Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] More information about the R-help mailing list
Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Cross Validated Questions Tags Users Badges Unanswered Ask Question _ Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top Make R report error on using non-existent column name in a data frame up vote 1 down vote favorite 1 In our usage of R for a non-trivial data analysis and estimation project, we've been repeatedly burnt by how tolerant R is toward misspelled or missing columns in a data frame. Typical example is calculating the weighted mean of a variable MYVAR in a data frame using another variable WEIGHT for weights: m <- weighted.mean(tbl$MYVAR, w = tbl$WEIGHT, na.rm = TRUE) Suppose I make a typo in the WEIGHT name in the operation above. What will happen in that R will expand my misspelled column into NULL and will use it for performing the weighted mean resulting in a non-weighted one. Therefore, the question: is there any way to make R treat attempts to "read" a non-existent variables in a data frame as an error? r share|improve this question edited Nov 10 '10 at 19:35 chl♦ 37.5k6125243 asked Nov 10 '10 at 19:25 Alexander L. Belikoff 1062 add a comment| 2 Answers 2 active oldest votes up vote 2 down vote Hmm... when I tried out your example with some fake data, weighted.mean() actually failed: #Some fake data dat <- data.frame(x = rnorm(100), weight = rnorm(100)) #The right weight var weighted.mean(x = dat$x, w = dat$weight) [1] 0.6161606 #Misspelled weight var weighted.mean(x = dat$x, w = dat$wieght) Error in weighted.mean.default(x = dat$x, w = dat$wieght) : 'x' and 'w' must have the same length But anyway, another way to cope with this problem is to access your variables via indexing - it returns an error if you try to pick non-existant columns: dat$wieght NULL dat[ , "wieght"] Error in `[.data.frame`(dat, , "wieght") : undefined columns selected weighted.mean(x = dat[ , "x"], w = dat[ , "wieght"], na.rm = T