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Dichotomizing variables

Now that we've cleaned up our question names, let's work on the response variable. In the original analysis, they looked at the percent of people considering a behavior somewhat or very rude. To replicate this, we'll need to change our rude variable from the current responses to one that combines the somewhat and very rude answers.

Deze oefening maakt deel uit van de cursus

Categorical Data in the Tidyverse

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Oefeninstructies

  • Remove rows with NA in the value column
  • Create a new variable, rude, which is 0 if the value column is "No, not rude at all" or "No, not at all rude" and 1 otherwise.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

dichotimized_data <- gathered_data %>%
    mutate(response_var = str_replace(response_var, '.*rude to ', '')) %>%
    mutate(response_var = str_replace(response_var, 'on a plane', '')) %>%
	# Remove rows that are NA in the value column
	___ %>%
    # Dichotomize the value variable to make a new variable, rude
    mutate(rude = if_else(value ___ c('No, not rude at all', 'No, not at all rude'), ___, ___))
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