View source: R/ifr-ts-prop-test.R
ifr_ts_prop_test | R Documentation |
Tests on the equality of proportions using large-sample statistics. It tests that a sample has the same proportion within two independent groups or two samples have the same proportion.
ifr_ts_prop_test(
data,
var1,
var2,
alternative = c("both", "less", "greater", "all"),
...
)
ifr_ts_prop_group(
data,
var,
group,
alternative = c("both", "less", "greater", "all")
)
ifr_ts_prop_calc(
n1,
n2,
p1,
p2,
alternative = c("both", "less", "greater", "all"),
...
)
data |
a |
var1 |
factor; column in |
var2 |
factor; column in |
alternative |
a character string specifying the alternative hypothesis, must be one of "both" (default), "greater", "less" or "all". You can specify just the initial letter |
... |
additional arguments passed to or from other methods |
var |
factor; column in |
group |
factor; column in |
n1 |
sample 1 size |
n2 |
sample 2 size |
p1 |
sample 1 proportion |
p2 |
sample 2 proportion |
an object of class "ifr_ts_prop_test"
.
An object of class "ifr_ts_prop_test"
is a list containing the
following components:
n1 |
sample 1 size |
n2 |
sample 2 size |
phat1 |
sample 1 proportion |
phat2 |
sample 2 proportion |
z |
z statistic |
sig |
p-value for z statistic |
alt |
alternative hypothesis |
infer_ts_prop_test()
, infer_ts_prop_grp()
and infer_ts_prop_calc()
have
been deprecated. Instead use ifr_ts_prop_test()
,
ifr_ts_prop_group()
and ifr_ts_prop_calc()
.
Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.
prop.test
# using variables
# lower tail
ifr_ts_prop_test(treatment, treatment1, treatment2,
alternative = 'less')
# using groups
# lower tail
ifr_ts_prop_group(treatment2, outcome, female,
alternative = 'less')
# using sample size and proportions
# lower tail
ifr_ts_prop_calc(n1 = 30, n2 = 25, p1 = 0.3, p2 = 0.5, alternative = 'less')
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