makeDemoPhotoplotDf: Make the df needed for figure 1

In maczokni/misperTweetsCode: This Package Contains All the Code Used for the Paper 'Exploring public engagement with missing person appeals on Twitter.'

Description

This function creates the dataframe needed to be able to make the plot of figure 1 comparing photo type to retwets broken down by gender and ethnic appearance

Usage

makeDemophotoplotDf(misper_tweets)

Arguments

misper_tweets

cleaned data set of missing persons tweets with all variables coded manually

Examples

misper_tweets <- structure(list(phototype = structure(c(1L, 1L, 3L, 1L, 1L, 3L,
1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 2L), .Label = c("No photo",
"Custody photo", "Regular photo", "Muliple photos"), class = "factor"),
    gender_coded = c(NA, NA, "Female", "Male", NA, "Male", "Female",
    "Female", NA, NA, "Male", "Male", "Male", "Male", NA, "Male",
    "Male", "Male", "Male", "Male"), race_coded = c(NA, NA, "white",
    NA, NA, "white", NA, "white", NA, NA, "white", "white", NA,
    NA, NA, "white", "white", "white", NA, "non-white"), retweet_count = c(41L,
    1L, 2L, 85L, 3L, 0L, 0L, 2L, 3L, 12L, 20L, 2L, 1L, 1L, 1L,
    15L, 0L, 1L, 0L, 7L)), row.names = c(NA, 20L), class = "data.frame")

fig_df <- makeDemophotoplotDf(misper_tweets)

maczokni/misperTweetsCode documentation built on May 8, 2020, 5:14 p.m.