Profile plot for cluster analysis.

Usage

profile_plot(
  df,
  clusters,
  df_dep,
  standardize = TRUE,
  bonferroni = TRUE,
  label_means = TRUE,
  label_profile_means = label_means,
  label_outcome_means = label_means,
  center_band = 0.25,
  center_fill = "#f0f9e8",
  center_alpha = 0.1,
  text_size = 4,
  hjust = 0.5,
  point_size = 2,
  se_factor = 1.96,
  color_palette = 2,
  cluster_labels,
  cluster_order,
  label_clusters = TRUE,
  cluster_label_x,
  cluster_label_hjust = 5,
  ylab = ifelse(standardize, "Mean Standard Score", "Mean Score"),
  title = "Cluster Profiles"
)

Arguments

df: data.frame with the columns used for the cluster analysis.
clusters: vector indicating what cluster each row of df belongs to.
df_dep: a data.frame with any dependent variables to include in the plot (optional).
standardize: if TRUE values in df will be converted to z-scores.
bonferroni: if TRUE Bonferroni adjusted error bars will be plotted.
label_means: label the mean values of both clusters and outcome variables.
label_profile_means: label the mean values of the clusters.
label_outcome_means: label the mean values of outcome variables.
center_band: the percentage around the mean to shade. This only works if standardize = TRUE.
center_fill: the color of the center band.
center_alpha: the transparency level of the center band.
text_size: text size.
hjust: horizontal adjustment of labels.
point_size: size of points passed to ggplot2::geom_point().
se_factor: critical value used ot determine the width of standard error bars.
color_palette: the color palette to use. See ggplot2:scale_color_brewer() for more details.
cluster_labels: labels for the clusters.
cluster_order: order of clusters on the x-axis.
label_clusters: whether to label clusters on the main panel.
cluster_label_x: cluster labels.
cluster_label_hjust: horizontal adjustment for y-axis labels.
ylab: label for the y-axis.
title: plot title.