Exclude Particular Values from Data

Codes for Excluding Particular Values from Data

Published by Haerim Hwang

data exclusion data removal data science r

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  • These codes exclude rows with certain values in data frame.


  • Codes

    • Open the sample CSV file you downloaded from the above link

      raw_data <- read.csv(file.choose(), header = TRUE, stringsAsFactors = T)


    • Exclude the group “Bilingual”; the two lines below do the same thing

      raw_data <- subset(raw_data, raw_data$group != "Bilingual")
raw_data <- raw_data [(!(raw_data$group == "Bilingual")),]


    • Exclude the response “I don’t know,” which is coded as “9”; the two lines below do the same thing

      raw_data <- subset(raw_data, raw_data$judgment !="9")
raw_data <- raw_data [(!(raw_data$judgment == "9")),]


    • Remove one participant whose proficiency is N/A

      raw_data <- raw_data[!is.na(raw_data$proficiency),] <br> <br>