expss (version 0.10.5)

tab_sort_asc: Partially (inside blocks) sort tables/data.frames

Description

tab_sort_asc/tab_sort_desc sort tables (usually result of cro/tables) in ascending/descending order between specified rows (by default, it is rows which contain '#' in the first column).

Usage

tab_sort_asc(x, ..., excluded_rows = "#", na.last = FALSE)
tab_sort_desc(x, ..., excluded_rows = "#", na.last = TRUE)

Arguments

x

data.frame

...

character/numeric or criteria/logical functions (see criteria). Column names/numbers for data.frame/matrix by which object will be sorted. Names at the top-level can be unquoted (non-standard evaluation). For standard evaluation of parameters you can surround them by round brackets. See examples. If this argument is missing then table will be sorted by second column. Usually second column is the first column with numbers in the table (there are row labels in the first column).

excluded_rows

character/logical/numeric rows which won't be sorted. Rows of the table will be sorted between excluded rows. If it is characters then they will be considered as pattern/vector of patterns. Patterns will be matched with Perl-style regular expression with values in the first column of x (see grep, perl = TRUE argument). Rows which have such patterns will be excluded. By default, pattern is "#" because "#" marks totals in the result of cro.

na.last

for controlling the treatment of NAs. If TRUE, missing values in the data are put last; if FALSE, they are put first; if NA, they are removed.

Value

sorted table('etable')/data.frame

Examples

# NOT RUN {
data(mtcars)

# apply labels
mtcars = apply_labels(mtcars,
    cyl = "Number of cylinders",
    vs = "Engine",
    vs = c("V-engine" = 0,
                    "Straight engine" = 1),
    am = "Transmission",
    am = c(automatic = 0,
                    manual=1),
    gear = "Number of forward gears",
    carb = "Number of carburetors"
)

# without sorting
mtcars %>% calculate(cro_cpct(list(cyl, gear, carb), list("#total", vs, am)))

# with sorting
mtcars %>% 
    calculate(cro_cpct(list(cyl, gear, carb), list("#total", vs, am))) %>% 
    tab_sort_desc
    
# sort by parameter
sorting_column = "Engine|V-engine"

mtcars %>% 
    calculate(cro_cpct(list(cyl, gear, carb), list("#total", vs, am))) %>% 
    tab_sort_desc((sorting_column))
    
# }

Run the code above in your browser using DataCamp Workspace