print.sc_ac | R Documentation |
The autocorr function calculates autocorrelations within each phase and across all phases.
## S3 method for class 'sc_ac'
print(x, digits = "auto", ...)
## S3 method for class 'sc_ac'
export(object, caption = NA, footnote = NA, filename = NA, round = 3, ...)
autocorr(data, dvar, pvar, mvar, lag_max = 3, lag.max, ...)
x |
An object returned by |
digits |
The minimum number of significant digits to be use. If set to "auto" (default), values are predefined. |
... |
Further arguments passed to the |
object |
An scdf or an object exported from a scan function. |
caption |
Character string with table caption. If left NA (default) a caption will be created based on the exported object. |
footnote |
Character string with table footnote. If left NA (default) a footnote will be created based on the exported object. |
filename |
String containing the file name. If a filename is given the output will be written to that file. |
round |
Integer passed to the digits argument used to round values. |
data |
A single-case data frame. See |
dvar |
Character string with the name of the dependent variable. Defaults to the attributes in the scdf file. |
pvar |
Character string with the name of the phase variable. Defaults to the attributes in the scdf file. |
mvar |
Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file. |
lag_max , lag.max |
The lag up to which autocorrelations will be computed. |
A data frame containing separate autocorrelations for each phase and
for all phases (for each single-case). If lag_max
exceeds the length
of a phase minus one, NA is returned for this cell.
print(sc_ac)
: Print method
export(sc_ac)
: Export results to html
Juergen Wilbert
acf()
Other regression functions:
bplm()
,
hplm()
,
mplm()
,
plm()
,
print.sc_bctau()
,
trend()
## Compute autocorrelations for a list of four single-cases up to lag 2.
autocorr(Huber2014, lag_max = 2)
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