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freq: support for table
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46
man/freq.Rd
46
man/freq.Rd
@@ -21,9 +21,9 @@ top_freq(f, n)
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15), ...)
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}
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\arguments{
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\item{x}{vector with items, or a \code{data.frame}}
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\item{x}{vector of any class or a \code{\link{data.frame}}, \code{\link{tibble}} or \code{\link{table}}}
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\item{...}{up to nine different columns of \code{x} to calculate frequencies from, see Examples}
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\item{...}{up to nine different columns of \code{x} when \code{x} is a \code{data.frame} or \code{tibble}, to calculate frequencies from - see Examples}
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\item{sort.count}{sort on count, i.e. frequencies. This will be \code{TRUE} at default for everything except for factors.}
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@@ -83,20 +83,15 @@ freq(septic_patients[, "hospital_id"])
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septic_patients$hospital_id \%>\% freq()
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septic_patients[, "hospital_id"] \%>\% freq()
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septic_patients \%>\% freq("hospital_id")
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septic_patients \%>\% freq(hospital_id) # <- easiest to remember when used to tidyverse
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septic_patients \%>\% freq(hospital_id) #<- easiest to remember when you're used to tidyverse
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# you could use `select`...
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# you could also use `select` or `pull` to get your variables
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septic_patients \%>\%
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filter(hospital_id == "A") \%>\%
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select(bactid) \%>\%
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freq()
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# ... or you use `freq` to select it immediately
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septic_patients \%>\%
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filter(hospital_id == "A") \%>\%
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freq(bactid)
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# select multiple columns; they will be pasted together
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# multiple selected variables will be pasted together
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septic_patients \%>\%
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left_join_microorganisms \%>\%
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filter(hospital_id == "A") \%>\%
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@@ -113,13 +108,40 @@ years <- septic_patients \%>\%
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mutate(year = format(date, "\%Y")) \%>\%
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freq(year)
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# print only top 5
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# show only the top 5
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years \%>\% print(nmax = 5)
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# transform to plain data.frame
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# print a histogram of numeric values
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septic_patients \%>\%
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freq(age) \%>\%
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hist() # prettier: ggplot(septic_patients, aes(age)) + geom_histogram()
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# or print all points to a regular plot
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septic_patients \%>\%
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freq(age) \%>\%
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plot()
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# transform to a data.frame or tibble
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septic_patients \%>\%
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freq(age) \%>\%
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as.data.frame()
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# or transform (back) to a vector
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septic_patients \%>\%
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freq(age) \%>\%
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as.vector()
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identical(septic_patients \%>\%
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freq(age) \%>\%
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as.vector() \%>\%
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sort(),
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sort(septic_patients$age)
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) # TRUE
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# also supports table:
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table(septic_patients$sex,
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septic_patients$age) \%>\%
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freq()
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}
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\keyword{freq}
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\keyword{frequency}
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