dx_plot_forest | R Documentation |
Generate a table of diagnostic measures
dx_plot_forest(
dx_obj,
fraction = FALSE,
breaks = NA,
limits = NA,
tick_label_size = 6.5,
trans = c(NA, "log10"),
measures = c("AUC ROC", "Sensitivity", "Specificity", "Odds Ratio"),
return = c("ggplot", "grid"),
filename = NA,
header_bg = "white",
header_col = "black",
body_bg = c("#e6e4e2", "#ffffff"),
footer_bg = "#b8b6b4",
footer_col = "black",
header_fontsize = 10,
body_fontsize = 9,
fraction_multiline = FALSE,
or_lwd = 0.8,
or_size = 0.35,
body_or_col = "black",
footer_or_col = footer_col
)
dx_obj |
An object of class dx |
fraction |
Logical. Should the fraction for sensitivity and specificity be shown? |
breaks |
A numeric vector of breaks to include on axis ticks. If left empty, breaks will be determined using the min and max value from 95% CIs. |
limits |
Limits for axis ticks. Ticks will be generates using base::breaks. Ignored if breaks are passed. |
tick_label_size |
Font size for axis labels. |
trans |
Method to transform the odds ratio by. Currently, only log10 is supported. |
measures |
Measures to be included in the plot |
return |
Should a grid or ggplot object be returned? |
filename |
File bane to create on disk. If left NA, no file will be created. |
header_bg |
Background color of the header |
header_col |
Color of text in the header |
body_bg |
Background color of table rows. If values are less than total number of rows, values are repeated. |
footer_bg |
Background color if the footer row. |
footer_col |
Color of the footer row. |
header_fontsize |
Font size of header text |
body_fontsize |
Font size of body text |
fraction_multiline |
Logical. Should fractions be split onto 2 lines? |
or_lwd |
Line width for OR |
or_size |
Size of OR point |
body_or_col |
Color of odds ratios in the table body |
footer_or_col |
Color of odds ratios in the table footer |
dx_obj <- dx(
data = dx_heart_failure,
true_varname = "truth",
pred_varname = "predicted",
outcome_label = "Heart Attack",
threshold_range = c(.1, .2, .3),
setthreshold = .3,
grouping_variables = c("AgeGroup", "Sex", "AgeSex")
)
dx_plot_forest(dx_obj)
dx_plot_forest(dx_obj, trans = "log10")
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