Summarize Data

Codes for Summarizing Data

Published by Haerim Hwang

summarizing data descriptive statistics data science r

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  • These codes summarize data by outputting (a) mean, (b) standard deviation, (c) standard error, and (d) confidence interval.



  • You can download the sample dataset for practice.


  • Codes

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

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


    • Summarize data by condition using the package “dplyr” : Mean, Standard Deviation, Standard Error, Confidence Interval (CI)

      data_summary_practice_01 <- raw_data %>%
   group_by(condition) %>%
   summarize(mean_acceptance_rate = mean(judgment, na.rm = TRUE))


    • Summarize data by condition using the package “Rmisc” : Mean, Standard Deviation, Standard Error, Confidence Interval (CI)

      data_summary_practice_02 <- summarySE(raw_data, measurevar="judgment", groupvars="condition")