Generate the Latex-text based on the NPAV by Lüpsen (see https://www.uni-koeln.de/~luepsen/R/). Only significant main and interaction effects are reported. P-values are rounded for the third digit and partial eta squared values are provided when possible. Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).

Deprecated: reportNPAV() will be removed in a future release. Use reportART() with ARTool instead.

Usage

reportNPAV(
  model,
  dv = "Testdependentvariable",
  write_to_clipboard = FALSE,
  sink_to = NULL
)

Arguments

model: the model of the np.anova
dv: the name of the dependent variable that should be reported
write_to_clipboard: whether to write to the clipboard
sink_to: optional path of a .tex file to write the sentences to, so a manuscript can \input{} them

Value

Invisibly returns the reported sentence(s) as a character vector; the text is also emitted via message().

Details

To easily copy and paste the results to your manuscript, the following commands must be defined in Latex: \newcommand{\F}[3]{$F({#1},{#2})={#3}$} \newcommand{\p}{\textit{p=}} \newcommand{\pminor}{\textit{p$<$}}

Examples

model <- data.frame(
  Df = c(1, 1, 10),
  `F value` = c(6.12, 5.01, NA),
  `Pr(>F)` = c(0.033, 0.045, NA),
  check.names = FALSE
)
rownames(model) <- c("Video", "gesture:eHMI", "Residuals")
reportNPAV(model, dv = "mental workload")
#> Warning: reportNPAV() is deprecated and will be removed in a future release. Use reportART() with ARTool instead.
#> The NPAV found a significant main effect of \Video on mental workload (\F{1}{10}{6.12}, \p{0.033}), $\eta_{p}^{2}$=0.38 [0.02, 1.00]. 
#> The NPAV found a significant interaction effect of \gesture $\times$ \eHMI on mental workload (\F{1}{10}{5.01}, \p{0.045}), $\eta_{p}^{2}$=0.33 [0.00, 1.00].