Package index
To create a plot, start with the tidyplot() function. Build the plot by adding, removing, and adjusting plot components. The split_plot() function must be called last in this sequence and can only be followed by save_plot().
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tidyplot() - Create a new tidyplot
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add_data_points()add_data_points_jitter()add_data_points_beeswarm() - Add data points
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add_count_bar()add_count_dash()add_count_dot()add_count_value()add_count_line()add_count_area() - Add count
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add_sum_bar()add_sum_dash()add_sum_dot()add_sum_value()add_sum_line()add_sum_area() - Add sum
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add_heatmap() - Add heatmap
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add_line()add_area() - Add line or area
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add_histogram() - Add histogram
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add_boxplot() - Add boxplot
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add_violin() - Add violin plot
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add_sem_errorbar()add_range_errorbar()add_sd_errorbar()add_ci95_errorbar() - Add error bar
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add_sem_ribbon()add_range_ribbon()add_sd_ribbon()add_ci95_ribbon() - Add ribbon
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add_ellipse() - Add ellipse
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add_barstack_absolute()add_barstack_relative() - Add bar stack
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add_areastack_absolute()add_areastack_relative() - Add area stack
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add_pie()add_donut() - Add pie or donut chart
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add_test_pvalue()add_test_asterisks() - Add statistical test
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add_title()add_caption() - Add plot title or caption
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add_data_labels()add_data_labels_repel() - Add data labels
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add_reference_lines() - Add reference lines
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add_annotation_text()add_annotation_rectangle()add_annotation_line() - Add annotation
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remove_legend()remove_legend_title() - Remove legend or legend title
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remove_padding() - Remove plot area padding
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remove_title()remove_caption() - Remove plot title or caption
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remove_x_axis()remove_x_axis_line()remove_x_axis_ticks()remove_x_axis_labels()remove_x_axis_title() - Remove x-axis or parts of it
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remove_y_axis()remove_y_axis_line()remove_y_axis_ticks()remove_y_axis_labels()remove_y_axis_title() - Remove y-axis or parts of it
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adjust_colors() - Adjust colors
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adjust_font() - Adjust font
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adjust_legend_title()adjust_legend_position() - Adjust legend
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adjust_title()adjust_x_axis_title()adjust_y_axis_title()adjust_caption() - Adjust titles and caption
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adjust_size() - Adjust plot area size
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adjust_padding() - Adjust plot area padding
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adjust_x_axis()adjust_y_axis() - Adjust axes
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rename_x_axis_levels()rename_y_axis_levels()rename_color_levels() - Rename axis or color levels
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reorder_x_axis_levels()reorder_y_axis_levels()reorder_color_levels() - Reorder axis or color levels
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sort_x_axis_levels()sort_y_axis_levels()sort_color_levels() - Sort axis or color levels
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reverse_x_axis_levels()reverse_y_axis_levels()reverse_color_levels() - Reverse axis or color levels
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theme_tidyplot()theme_ggplot2()theme_minimal_xy()theme_minimal_x()theme_minimal_y() - Themes
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adjust_theme_details() - Adjust theme details
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tidyplots_options() - Tidyplots options
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colors_discrete_friendlycolors_discrete_seasidecolors_discrete_applecolors_discrete_friendly_longcolors_discrete_okabeitocolors_discrete_ibmcolors_discrete_metrocolors_discrete_candycolors_discrete_algercolors_discrete_rainbow - Discrete color schemes
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colors_continuous_viridiscolors_continuous_magmacolors_continuous_infernocolors_continuous_plasmacolors_continuous_cividiscolors_continuous_rocketcolors_continuous_makocolors_continuous_turbocolors_continuous_bluepinkyellow - Continuous color schemes
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colors_diverging_blue2redcolors_diverging_blue2browncolors_diverging_BuRdcolors_diverging_BuYlRdcolors_diverging_spectralcolors_diverging_icefire - Diverging color schemes
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new_color_scheme() - New color scheme
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split_plot() - Split plot into multiple subplots
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view_plot() - View plot on screen
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save_plot() - Save plots to file
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all_rows()filter_rows()max_rows()min_rows()first_rows()last_rows()sample_rows() - Subset data rows
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add() - Add ggplot2 code to a tidyplot
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flip_plot()superseded - Flip x and y-axis
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format_p_value() - Format p values
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animals - Animals data
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climate - Climate data
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dinosaurs - Dinosaurs data
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distributions - Distributions data
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energy - Energy data
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energy_week - Energy week data
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eu_countries - EU countries data
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gene_expression - RNA-Seq expression data
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spendings - Spending data
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study - Study data
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time_course - Time course data
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pca - Principle component analysis data