- x
a vector (numeric or factor), or the name of a column in the supplied
data
or design
object
- y
a vector (numeric or factor), or the name of a column in the supplied
data
or design
object
- g1
a vector (numeric or factor), or the name of a column in the supplied
data
or design
object. This variable acts as a subsetting variable.
- g1.level
the name (or numeric position) of the level of g1
that will be
used instead of the entire data set
- g2
a vector (numeric or factor), or the name of a column in the supplied
data
or design
object. This variable acts as a subsetting variable, similar to
g1
- g2.level
same as g1.level
, however takes the additional value "_MULTI"
,
which produces a matrix of g1
by g2
- varnames
a list of variable names, with the list named using the appropriate arguments
(i.e., list(x = "height", g1 = "gender")
)
- colby
the name of a variable (numeric or factor) to colour points by. In the
case of a numeric variable, a continuous colour scale is used, otherwise each level of
the factor is assigned a colour
- sizeby
the name of a (numeric) variable, which controls the size of points
- data
the name of a data set
- design
the name of a survey object, obtained from the survey
package
- freq
the name of a frequency variable if the data are frequencies
- missing.info
logical, if TRUE
, information regarding missingness is
displayed in the plot
- inzpars
allows specification of iNZight plotting parameters over multiple plots
- summary.type
one of "summary"
or "inference"
- table.direction
one of 'horizontal' (default) or 'vertical' (useful for many categories)
- hypothesis.value
H0 value for hypothesis test
- hypothesis.alt
alternative hypothesis (!=, <, >)
- hypothesis.var.equal
use equal variance assumption for t-test?
- hypothesis.use.exact
logical, if TRUE
the exact p-value will be calculated (if applicable)
- hypothesis.test
in some cases (currently just two-samples) can perform multiple tests (t-test or ANOVA)
- hypothesis.simulated.p.value
also calculate (where available) the simulated p-value
- hypothesis
either NULL for no test, or missing (in which case above arguments are used)
- survey.options
additional options passed to survey methods
- width
width for the output, default is 100 characters
- epi.out
logical, if TRUE
, then odds/rate ratios and rate differences are printed when appropriate (y
with 2 levels)
- privacy_controls
optional, pass in confidentialisation and privacy controls (e.g., random rounding, suppression) for microdata
- html
logical, it TRUE
output will be returned as an HTML page (if supported)
- ...
additional arguments, see inzpar
- env
compatibility argument