ezA_VL_Direct: Augment ezANOVA output
In VinLaflamme/muCoVL: What the package does (short line)

Description Usage Arguments Value Examples

This function augments the output from an ezANOVA for easier pasting into a manuscript. Unlike ezA_VL, it invokes ezANOVA directly

ezA_VL_Direct(dataT, dv, wid, within = NULL, within_full = NULL,
  within_covariates = NULL, between = NULL, between_covariates = NULL,
  type = 3, digits = 2, genEs = F, DoFd = 2, Fd = 2, pd = 3,
  pc = 0.001, e2d = 3, e2c = 0.001, epd = 3, epc = 0.001)

`dataT`	Data table to input.
`dv`	Name of the column in data that contains the dependent variable. Values in this column must be numeric.
`wid`	Name of the column in data that contains the variable specifying the case/Ss identifier. This should be a unique value per case/Ss.
`within`	Names of columns in data that contain predictor variables that are manipulated (or observed) within-Ss. If a single value, may be specified by name alone; if multiple values, must be specified as a .() list.
`within_full`	Same as within, but intended to specify the full within-Ss design in cases where the data have not already been collapsed to means per condition specified by within and when within only specifies a subset of the full design.
`within_covariates`	Names of columns in data that contain predictor variables that are manipulated (or observed) within-Ss and are to serve as covariates in the analysis. If a single value, may be specified by name alone; if multiple values, must be specified as a .() list.
`between`	Names of columns in data that contain predictor variables that are manipulated (or observed) between-Ss. If a single value, may be specified by name alone; if multiple values, must be specified as a .() list.
`between_covariates`	Names of columns in data that contain predictor variables that are manipulated (or observed) between-Ss and are to serve as covariates in the analysis. If a single value, may be specified by name alone; if multiple values, must be specified as a .() list.
`type`	Numeric value (either 1, 2 or 3) specifying the Sums of Squares “type” to employ when data are unbalanced (eg. when group sizes differ). type = 2 is the default because this will yield identical ANOVA results as type = 1 when data are balanced but type = 2 will additionally yield various assumption tests where appropriate. When data are unbalanced, users are warned that they should give special consideration to the value of type. type=3 will emulate the approach taken by popular commercial statistics packages like SAS and SPSS, but users are warned that this approach is not without criticism.
`digits`	significant digits. Deprecated.
`genEs`	Whether to print the generalized eta squared or not
`DoFd`	decimal place for degrees of freedom
`Fd`	decimal place for F stat
`pd`	decimal place for p value
`pc`	cutoff value for p value. (i.e. lower limit)
`e2d`	decimal place for eta squared
`e2c`	cutoff value for eta squared. (i.e. lower limit)
`epd`	decimal place for epsilon
`epc`	cutoff value for epsilon

augmented list. The txxthtml is a printable an HTML table. Use in conjunction with xtable.

1
2
3

data("donn_ag",package="muCoVL")
donn_ag[,durF:=factor(dur)]
outt<-ezA_VL_Direct(data = donn_ag,dv = .(relE),wid = .(sub),within = .(dist,durF),between = .(Trial_Block,Group))