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AI improvements for microorganisms
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@ -26,25 +26,8 @@ Frequency tables (or frequency distributions) are summaries of the distribution
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## Frequencies of one variable
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To only show and quickly review the content of one variable, you can just select this variable in various ways. Let's say we want to get the frequencies of the `sex` variable of the `septic_patients` dataset:
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```{r, echo = TRUE, results = 'hide'}
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# just using base R
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freq(septic_patients$sex)
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# using base R to select the variable and pass it on with a pipe from the dplyr package
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septic_patients$sex %>% freq()
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# do it all with pipes, using the `select` function from the dplyr package
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septic_patients %>%
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select(sex) %>%
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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 '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 = FALSE}
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freq(septic_patients$sex)
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```{r, echo = TRUE}
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septic_patients %>% freq(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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