describeBy {psych} | R Documentation |
Report basic summary statistics by a grouping variable. Useful if the grouping variable is some experimental variable and data are to be aggregated for plotting. Partly a wrapper for by and describe
describeBy(x, group=NULL,mat=FALSE,type=3,digits=15,...) describe.by(x, group=NULL,mat=FALSE,type=3,...) # deprecated
x |
a data.frame or matrix. See note for statsBy. |
group |
a grouping variable or a list of grouping variables |
mat |
provide a matrix output rather than a list |
type |
Which type of skew and kurtosis should be found |
digits |
When giving matrix output, how many digits should be reported? |
... |
parameters to be passed to describe |
To get descriptive statistics for several different grouping variables, make sure that group is a list. In the case of matrix output with multiple grouping variables, the grouping variable values are added to the output.
The type parameter specifies which version of skew and kurtosis should be found. See describe
for more details.
An alternative function (statsBy
) returns a list of means, n, and standard deviations for each group. This is particularly useful if finding weighted correlations of group means using cor.wt
. More importantly, it does a proper within and between group decomposition of the correlation.
cohen.d
will work for two groups. It converts the data into mean differences and pools the within group standard deviations. Returns cohen.d statistic as well as the multivariate generalization (Mahalanobis D).
A data.frame of the relevant statistics broken down by group:
item name
item number
number of valid cases
mean
standard deviation
median
mad: median absolute deviation (from the median)
minimum
maximum
skew
standard error
William Revelle
describe
, statsBy
, densityBy
and violinBy
, cohen.d
, cohen.d.by
, and cohen.d.ci
as well as error.bars
and error.bars.by
for other graphical displays.
data(sat.act) describeBy(sat.act,sat.act$gender) #just one grouping variable #describeBy(sat.act,list(sat.act$gender,sat.act$education)) #two grouping variables des.mat <- describeBy(sat.act$age,sat.act$education,mat=TRUE) #matrix (data.frame) output des.mat <- describeBy(sat.act$age,list(sat.act$education,sat.act$gender), mat=TRUE,digits=2) #matrix output