add_rows
is similar to rbind but it handles non-matching
column names. %add_rows%
is an infix version of add_rows
.
There is also special method for the results of
cro/cro_fun/tables/fre. .add_rows
is
version for adding rows to default dataset. See default_dataset.
add_rows(...)# S3 method for data.frame
add_rows(..., nomatch_columns = c("add", "drop", "stop"))
x %add_rows% y
.add_rows(..., nomatch_columns = c("add", "drop", "stop"))
data.frame/matrix/table for binding
action if there are non-matching columns between
data.frames. Possible values are "add"
, "drop"
, "stop"
.
"add"
will combine all columns, "drop"
will leave only common
columns, "stop"
will raise an error.
data.frame/matrix/table for binding
data.frame/matrix/table for binding
# NOT RUN {
a = data.frame(x = 1:5, y = 6:10)
b = data.frame(y = 6:10, z = 11:15)
add_rows(a, b) # x, y, z
a %add_rows% b # the same result
add_rows(a, b, nomatch_columns = "drop") # y
# simple tables
data(mtcars)
# apply labels
mtcars = apply_labels(mtcars,
mpg = "Miles/(US) gallon",
cyl = "Number of cylinders",
disp = "Displacement (cu.in.)",
hp = "Gross horsepower",
drat = "Rear axle ratio",
wt = "Weight (lb/1000)",
qsec = "1/4 mile time",
vs = "V/S",
vs = c("V-engine" = 0, "Straight engine" = 1),
am = "Transmission (0 = automatic, 1 = manual)",
am = c(automatic = 0, manual = 1),
gear = "Number of forward gears",
carb = "Number of carburetors"
)
tbl_mean = calculate(mtcars, cro_mean(cyl, am))
tbl_percent = calculate(mtcars, cro_cpct(cyl, am))
tbl_mean %add_rows% tbl_percent
# }
Run the code above in your browser using DataLab