Social science statistical visualization using the sjPlot package for regression tables, model plots, and interaction visualizations.
Usage
jsjplot(
data,
analysis_type = "coefficient_plot",
dependent_var = NULL,
independent_vars = NULL,
grouping_var = NULL,
interaction_vars = NULL,
model_type = "lm",
family = "gaussian",
plot_type = "est",
confidence_level = 0.95,
standardized = FALSE,
show_values = TRUE,
show_p_values = TRUE,
sort_estimates = FALSE,
remove_intercept = TRUE,
grid_breaks = 0.5,
dot_size = 3,
line_size = 0.8,
colors = "default",
theme_style = "sjplot",
title = "",
axis_labels = "",
transform_axis = "none",
show_data = FALSE,
show_statistics = TRUE,
show_summary = TRUE,
html_output = TRUE
)Arguments
- data
The data as a data frame.
- analysis_type
Type of statistical visualization to generate.
- dependent_var
Dependent/outcome variable for analysis.
- independent_vars
Independent/predictor variables for analysis.
- grouping_var
Variable for grouping or stratification.
- interaction_vars
Variables for interaction analysis.
- model_type
Type of statistical model to fit.
- family
Error distribution family for GLM.
- plot_type
Type of model plot to generate.
- confidence_level
Confidence level for intervals.
- standardized
Whether to show standardized coefficients.
- show_values
Whether to display coefficient values on plot.
- show_p_values
Whether to display p-values.
- sort_estimates
Whether to sort coefficients by effect size.
- remove_intercept
Whether to exclude intercept from plots.
- grid_breaks
Spacing for grid lines in plots.
- dot_size
Size of points in coefficient plots.
- line_size
Thickness of confidence interval lines.
- colors
Color scheme for plots.
- theme_style
Visual theme for plots.
- title
Custom title for the plot.
- axis_labels
Custom labels for axes (comma-separated).
- transform_axis
Transformation to apply to axis scale.
- show_data
Whether to overlay raw data points.
- show_statistics
Whether to display model fit statistics.
- show_summary
Whether to display detailed model summary.
- html_output
Whether to generate HTML formatted output.
Value
A results object containing:
results$plot | Statistical plots using sjPlot package | ||||
results$model_table | Regression table or statistical summary table | ||||
results$statistics | Model fit statistics and diagnostics | ||||
results$summary | Comprehensive analysis summary and interpretation |
Examples
# \donttest{
# Example usage:
library(sjPlot)
#> Learn more about sjPlot with 'browseVignettes("sjPlot")'.
# Regression table
tab_model(lm_model)
#> Error: object 'lm_model' not found
# Coefficient plot
plot_model(lm_model)
#> Error: object 'lm_model' not found
# Interaction plot
plot_model(lm_model, type = "int")
#> Error: object 'lm_model' not found
# }