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vignet fix
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@ -39,11 +39,11 @@ septic_patients %>%
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freq()
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# or the preferred way: using a pipe to pass the variable on to the freq function
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septic_patients %>% freq(sex) # this also shows 'age' in the title
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septic_patients %>% freq(sex) # this also shows 'sex' in the title
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```
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This will all lead to the following table:
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```{r, echo = TRUE}
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```{r, echo = FALSE}
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freq(septic_patients$sex)
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```
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This immediately shows the class of the variable, its length and availability (i.e. the amount of `NA`), the amount of unique values and (most importantly) that among septic patients men are more prevalent than women.
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