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param header for freq
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15
man/freq.Rd
15
man/freq.Rd
@ -9,11 +9,12 @@
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\usage{
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frequency_tbl(x, ..., sort.count = TRUE,
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nmax = getOption("max.print.freq"), na.rm = TRUE, row.names = TRUE,
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markdown = FALSE, digits = 2, quote = FALSE, sep = " ")
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markdown = FALSE, digits = 2, quote = FALSE, header = !markdown,
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sep = " ")
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freq(x, ..., sort.count = TRUE, nmax = getOption("max.print.freq"),
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na.rm = TRUE, row.names = TRUE, markdown = FALSE, digits = 2,
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quote = FALSE, sep = " ")
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quote = FALSE, header = !markdown, sep = " ")
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top_freq(f, n)
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@ -29,16 +30,18 @@ top_freq(f, n)
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\item{nmax}{number of row to print. The default, \code{15}, uses \code{\link{getOption}("max.print.freq")}. Use \code{nmax = 0}, \code{nmax = Inf}, \code{nmax = NULL} or \code{nmax = NA} to print all rows.}
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\item{na.rm}{a logical value indicating whether \code{NA} values should be removed from the frequency table. The header will always print the amount of \code{NA}s.}
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\item{na.rm}{a logical value indicating whether \code{NA} values should be removed from the frequency table. The header_txt will always print the amount of \code{NA}s.}
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\item{row.names}{a logical value indicating whether row indices should be printed as \code{1:nrow(x)}}
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\item{markdown}{print table in markdown format (this forces \code{nmax = NA})}
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\item{digits}{how many significant digits are to be used for numeric values in the header (not for the items themselves, that depends on \code{\link{getOption}("digits")})}
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\item{digits}{how many significant digits are to be used for numeric values in the header_txt (not for the items themselves, that depends on \code{\link{getOption}("digits")})}
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\item{quote}{a logical value indicating whether or not strings should be printed with surrounding quotes}
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\item{header}{a logical value indicating whether an informative header should be printed}
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\item{sep}{a character string to separate the terms when selecting multiple columns}
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\item{f}{a frequency table}
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@ -54,7 +57,7 @@ Create a frequency table of a vector with items or a data frame. Supports quasiq
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\details{
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Frequency tables (or frequency distributions) are summaries of the distribution of values in a sample. With the `freq` function, you can create univariate frequency tables. Multiple variables will be pasted into one variable, so it forces a univariate distribution. This package also has a vignette available to explain the use of this function further, run \code{browseVignettes("AMR")} to read it.
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For numeric values of any class, these additional values will all be calculated with \code{na.rm = TRUE} and shown into the header:
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For numeric values of any class, these additional values will all be calculated with \code{na.rm = TRUE} and shown into the header_txt:
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\itemize{
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\item{Mean, using \code{\link[base]{mean}}}
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\item{Standard Deviation, using \code{\link[stats]{sd}}}
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@ -66,7 +69,7 @@ For numeric values of any class, these additional values will all be calculated
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\item{Outliers (total count and unique count), using \code{\link[grDevices]{boxplot.stats}}}
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}
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For dates and times of any class, these additional values will be calculated with \code{na.rm = TRUE} and shown into the header:
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For dates and times of any class, these additional values will be calculated with \code{na.rm = TRUE} and shown into the header_txt:
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\itemize{
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\item{Oldest, using \code{\link{min}}}
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\item{Newest, using \code{\link{max}}, with difference between newest and oldest}
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