A ccf.df or data.frame containing the variables in
vars and byVar.
vars
Character vector naming the variables in data to be
summarized.
byVar
A categorical variables giving groups by which statistics
should be computed.
alpha
significance level for determining the confidence limits.
test
The test to use for comparing between groups. Currently
limited to t-test and ANOVA (parametric tests).
test.args
a list of additional arguments to pass to the function in
test.
Details
Statistics available in univ, and the calls to get them are:
nnumber of non-missing values.
missingnumber of missing values
meanarithmetic mean
medianmedian value
sdstandard deviation
lcllower confidence limit
uclupper confidence limit
minminimum value
maxmaximum value
p2525th percentile
p7575th percentile
cvcoefficient of variation
univ does not perform any kind of inference on the varaibles
supplied in the argument. It returns only summary statistics. If
comparisons are desired, try using conttable. Confidence limits
are determined using the t-distribution.
Author(s)
Benjamin Nutter
Examples
data(Delivery)
#Read in the delivery dataset from the CCFmisc library
#use Hmisc library to labeling variables in univariate tables
Hmisc::label(Delivery$maternal.age) <- "Maternal Age"
Hmisc::label(Delivery$ga.weeks) <- "Gestation weeks"
Hmisc::label(Delivery$wt.gram) <- "Weight (g)"
#a univariate table of the variables maternal age,
#ga.weeks and wt.grams. The object resulting
#from univ() can be used in other functions to create html or
#LaTeX tables.
uni <- univ(Delivery,
vars=c("maternal.age", "ga.weeks", "wt.gram"))
#a univariate table of the variables maternal age,
#ga.weeks and wt.grams by delivery.type. The object resulting
#from univ() can be used in other functions to create html or
#LaTeX tables.
deliv.uni <- univ(Delivery,
vars=c("maternal.age", "ga.weeks", "wt.gram"),
byVar="delivery.type")
#if you want to take advantage of the confidence interval
#output from univ() different alpha levels can be set
#by the alpha= argument.
deliv_99.uni <- univ(Delivery,
vars=c("maternal.age", "ga.weeks", "wt.gram"),
byVar="delivery.type",
alpha=0.01)