## ----echo=FALSE---------------------------------------------------------------
req_suggested_packages <- c("emmeans", "ggplot2", "cowplot",
                            "ggbeeswarm", "ggpol")
pcheck <- lapply(req_suggested_packages, requireNamespace, 
                 quietly = TRUE)
if (any(!unlist(pcheck))) {
   message("Required package(s) for this vignette are not available/installed and code will not be executed.")
   knitr::opts_chunk$set(eval = FALSE)
}

## ----set-options, echo=FALSE, cache=FALSE-----------------------------------------------
op <- options(width = 90)
knitr::opts_chunk$set(dpi=72)

## ----message=FALSE, warning=FALSE-------------------------------------------------------
library("afex")     
library("ggplot2")  
library("cowplot")
theme_set(theme_grey())

## ---------------------------------------------------------------------------------------
data(md_12.1)
(aw <- aov_ez("id", "rt", md_12.1, within = c("angle", "noise")))

## ----fig.width=9, fig.height=4----------------------------------------------------------
p_an <- afex_plot(aw, x = "angle", trace = "noise") 
p_na <- afex_plot(aw, x = "noise", trace = "angle")
plot_grid(p_an, p_na)  ## try adding: labels = "AUTO"

## ---------------------------------------------------------------------------------------
p_an <- afex_plot(aw, x = "angle", trace = "noise", error = "within",
                  factor_levels = list(angle = c("0°", "4°", "8°"),
                                    noise = c("Absent", "Present")), 
                  legend_title = "Noise") +
  labs(y = "RTs (in ms)", x = "Angle (in degrees)")

## ----fig.width=8.5, fig.height=6, dpi = 150---------------------------------------------
plot_grid(
  p_an + theme_bw() + theme(legend.position="bottom"),
  p_an + theme_light() + theme(legend.position="bottom"),
  p_an + theme_minimal() + theme(legend.position="bottom"),
  p_an + jtools::theme_nice() + theme(legend.position="bottom"),
  p_an + ggpubr::theme_pubr(),
  p_an + theme_cowplot() + theme(legend.position="bottom"),
  labels = "AUTO"
)  

## ----fig.width=3.5, fig.height=3, dpi = 100, out.width='50%'----------------------------
p_an + 
  scale_y_continuous(breaks=seq(400, 900, length.out = 3)) +
  theme_bw(base_size = 15) + 
  theme(legend.position="bottom", 
        panel.grid.major.x = element_blank())

## ---------------------------------------------------------------------------------------
theme_set(theme_bw(base_size = 15) + 
            theme(legend.position="bottom", 
                  panel.grid.major.x = element_blank()))

## ----eval=FALSE-------------------------------------------------------------------------
#  ggsave("my_plot.png", device = "png",
#         width = 9, height = 8, units = "cm",
#         dpi = 600) ## the larger the dpi, the better the resolution

## ----eval=FALSE-------------------------------------------------------------------------
#  ggsave("my_plot.pdf", device = "pdf",
#         width = 9, height = 8, units = "cm")

## ----fig.width=8.5, fig.height=16, dpi = 125--------------------------------------------
p0 <- afex_plot(aw, x = "noise", trace = "angle", error = "within")
p1 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.3,
                data_arg = list(
                  position = 
                    ggplot2::position_jitterdodge(
                      jitter.width = 0, 
                      jitter.height = 25, 
                      dodge.width = 0.3  ## needs to be same as dodge
                    )))
p2 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.5,
                data_geom = geom_count)
p3 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", 
                data_geom = geom_violin, 
                data_arg = list(width = 0.5))
p4 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", 
                data_geom = geom_boxplot, 
                data_arg = list(width = 0.3, linetype = 1))
p5 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.5,
                data_geom = ggbeeswarm::geom_beeswarm,
                data_arg = list(
                  dodge.width = 0.5,  ## needs to be same as dodge
                  cex = 0.8))
p6 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.5,
                data_geom = ggbeeswarm::geom_quasirandom,
                data_arg = list(
                  dodge.width = 0.5,  ## needs to be same as dodge
                  cex = 0.8,
                  width = 0.05  ## choose small value so data points are not overlapping 
                ))
p7 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.7, 
                data_geom = ggpol::geom_boxjitter, 
                data_arg = list(
                  width = 0.5, 
                  jitter.params = list(width = 0, height = 10),
                  outlier.intersect = TRUE),
                point_arg = list(size = 2.5), 
                error_arg = list(linewidth = 1.5, width = 0))
plot_grid(p0, p1, p2, p3, p4, p5, p6, p7, ncol = 2, labels = 1:8)  

## ----fig.width=3.5, fig.height=3, dpi = 100, out.width='50%'----------------------------
afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.5,
          data_geom = list(
            geom_violin, 
            ggbeeswarm::geom_quasirandom
          ),
          data_arg = list(
            list(draw_quantiles = c(0.25, 0.5, 0.75)),
            list(dodge.width = 0.5, width = 0.05)
          ))

## ----fig.width=8.5, fig.height=8, dpi = 125---------------------------------------------
p2 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.5,
                mapping = c("shape", "color"),
                data_geom = ggbeeswarm::geom_beeswarm,
                data_arg = list(
                  dodge.width = 0.5,  ## needs to be same as dodge
                  cex = 0.8))
p3 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", 
                mapping = c("linetype", "shape", "fill"),
                data_geom = ggplot2::geom_violin, 
                data_arg = list(width = 0.5))
p4 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", 
                mapping = c("shape", "fill"),
                data_geom = ggplot2::geom_boxplot, 
                data_arg = list(width = 0.3))
p5 <- afex_plot(aw, x = "noise", trace = "angle", error = "within", dodge = 0.7,
                mapping = c("shape", "fill"),
                data_geom = ggpol::geom_boxjitter, 
                data_arg = list(
                  width = 0.5, 
                  jitter.params = list(width = 0, height = 10),
                  outlier.intersect = TRUE),
                point_arg = list(size = 2.5), 
                line_arg = list(linetype = 0),
                error_arg = list(linewidth = 1.5, width = 0))
plot_grid(p2, p3, p4, p5, ncol = 2) 

## ----fig.width=8.5, fig.height=4, dpi = 150---------------------------------------------
p1 <- afex_plot(aw, x = "noise", trace = "angle", mapping = c("color"), 
                error = "within", 
                point_arg = list(size = 5), line_arg = list(size = 2),
                error_arg = list(linewidth = 2))
p2 <- afex_plot(aw, x = "noise", trace = "angle", 
                mapping = c("color", "shape", "linetype"), 
                error = "within", 
                point_arg = list(size = 5), line_arg = list(size = 2),
                error_arg = list(linewidth = 2, width = 0, linetype = 1))
plot_grid(p1, p2, ncol = 2)

## ----fig.width=7, fig.height=3.5, message=FALSE-----------------------------------------
po1 <- afex_plot(aw, x = "angle", mapping = "color", error = "within", 
                 point_arg = list(size = 2.5), 
                 error_arg = list(linewidth = 1.5, width = 0.05)) 
po2 <- afex_plot(aw, x = "angle", error = "within", 
                 data_geom = ggpol::geom_boxjitter, 
                 mapping = "fill", data_alpha = 0.7, 
                 data_arg = list(
                   width = 0.6, 
                   jitter.params = list(width = 0.05, height = 10),
                   outlier.intersect = TRUE
                 ),
                 point_arg = list(size = 2.5), 
                 error_arg = list(linewidth = 1.5, width = 0.05)) +
  theme(legend.position="none")
plot_grid(po1, po2) 

## ----fig.width=7, fig.height=3.5, message=FALSE-----------------------------------------
afex_plot(aw, x = "angle", panel = "noise", error = "within",
          data_geom = ggpol::geom_boxjitter,
          mapping = "fill", data_alpha = 0.7,
          data_arg = list(
            width = 0.6,
            jitter.params = list(width = 0.05, height = 10),
            outlier.intersect = TRUE
          ),
          point_arg = list(size = 2.5),
          error_arg = list(linewidth = 1.5, width = 0.05)) +
  theme(legend.position="none")

## ----fig.width=7, fig.height=3.5, message=FALSE-----------------------------------------
plot_grid(
  po1 + geom_line(aes(group = 1), color = "darkgrey", size = 1.5), 
  po2 + geom_line(aes(group = 1))
) 

## ----echo=FALSE-------------------------------------------------------------------------
load(system.file("extdata/", "output_afex_plot_mixed_vignette_model.rda", package = "afex"))

## ----eval=FALSE-------------------------------------------------------------------------
#  data("fhch2010") # load
#  fhch <- droplevels(fhch2010[ fhch2010$correct,]) # remove errors
#  m9s <- mixed(log_rt ~ task*stimulus*density*frequency +
#                 (stimulus+frequency||id)+
#                 (task|item), fhch, method = "S",
#               control = lmerControl(optCtrl = list(maxfun = 1e6)),
#               expand_re = TRUE)

## ---------------------------------------------------------------------------------------
emmeans::emm_options(lmer.df = "asymptotic")

## ----eval=TRUE--------------------------------------------------------------------------
m9s

## ----fig.width=7, fig.height=3.5, eval=TRUE---------------------------------------------
afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task") 

## ----fig.width=7, fig.height=3.5, eval=TRUE---------------------------------------------
plot_grid( 
  afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task", 
            id = "id"), 
  afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task", 
            id = "item"), 
  labels = c("ID", "Item") 
)

## ----fig.width=7, fig.height=3.5, eval=TRUE---------------------------------------------
plot_grid( 
  afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task", 
            id = "item", dodge = 0.8,
            data_geom = geom_violin, 
            data_arg = list(width = 0.5)), 
  afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task", 
            id = "item", dodge = 0.8,
            data_geom = geom_boxplot, 
            data_arg = list(width = 0.5),
            error_arg = list(linewidth = 1.5, width = 0, linetype = 1))
)

## ----eval=FALSE-------------------------------------------------------------------------
#  pairs(emmeans::emmeans(mrt, c("stimulus", "frequency"), by = "task"))

## ----echo=FALSE-------------------------------------------------------------------------
cat(aout_2$output, sep = "\n")

## ----fig.width=7, fig.height=3.5, eval=FALSE--------------------------------------------
#  plot_grid(
#    afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task",
#              id = "id", error = "within"),
#    afex_plot(m9s, x = "stimulus", trace = "frequency", panel = "task",
#              id = "item", dodge = 0.8, error = "within",
#              data_geom = geom_violin,
#              data_arg = list(width = 0.5))
#  )

## ----include=FALSE------------------------------------------------------------
options(op)

