| data_1w_death | In vitro experiments measuring percentage cell death in three genotypes of cells. |
| data_2w_Festing | Data from two-way ANOVA with randomised block design of treatments of strains of mice. |
| data_2w_Tdeath | In vitro measurement of percentage cell death - two-way ANOVA design with repeated measures, and randomised blocks. |
| data_cholesterol | Hierarchical data from 25 subjects either treated or not at 5 hospitals - two-way ANOVA design with repeated measures. |
| data_doubling_time | Doubling time of E.coli measured by 10 students three independent times. |
| data_t_pdiff | Matched data from two groups where difference between them is consistent. |
| data_t_pratio | Matched data from two groups where ratio between them is consistent. |
| data_zooplankton | Time-series data on zooplankton in lake Menon. |
| ga_anova | ANOVA table from a generalised additive model ('gam') |
| ga_model | Fit a generalised additive model ('gam') |
| get_graf_colours | Get graf internal |
| graf_colours | List of hexcodes of colours in grafify palettes |
| graf_col_palette | Call 'grafify' palettes for scale & fill functions |
| graf_col_palette_default | Call 'grafify' palettes for scale & fill functions |
| graf_palettes | List of palettes available in grafify package |
| make_1way_data | Make one-way or two-way independent group or randomised block design data. |
| make_1way_rb_data | Make one-way or two-way independent group or randomised block design data. |
| make_2way_data | Make one-way or two-way independent group or randomised block design data. |
| make_2way_rb_data | Make one-way or two-way independent group or randomised block design data. |
| mixed_anova | ANOVA table from linear mixed effects analysis. |
| mixed_anova_slopes | ANOVA table from linear mixed effects analysis. |
| mixed_model | Model from a linear mixed effects model |
| mixed_model_slopes | Model from a linear mixed effects model with varying slopes |
| plot_3d_point_sd | Plot of mean & error bars for 1-way ANOVAs with matched shapes mapped to blocking factor. |
| plot_3d_scatterbar | Plot a bar graph for 1-way ANOVAs with matched shapes mapped to blocking factor. |
| plot_3d_scatterbox | Plot a scatter and box plot for 1-way ANOVAs with matched shapes mapped to blocking factor. |
| plot_3d_scatterviolin | Plot a scatter with violin & box plot for 1-way ANOVAs with matched shapes mapped to blocking factor. |
| plot_4d_point_sd | Plot mean & error bars for 2-way ANOVAs with or without a blocking factor. |
| plot_4d_scatterbar | Plot scatter plot with bar & error bars for 2-way ANOVAs with or without a blocking factor. |
| plot_4d_scatterbox | Plot scatter, box & whiskers for 2-way ANOVAs with or without a blocking factor. |
| plot_4d_scatterviolin | Plot scatter, box & violin for 2-way ANOVAs with or without a blocking factor. |
| plot_befafter_box | Before-after style graph with a boxplot |
| plot_befafter_colors | Plot a before-after plot with lines joining colour-matched symbols. |
| plot_befafter_colours | Plot a before-after plot with lines joining colour-matched symbols. |
| plot_befafter_shapes | Plot a before-after plot with lines joining shape-matched symbols. |
| plot_density | Plot density distribution of data. |
| plot_dotbar_sd | Plot a dotplot on a bar graph with SD error bars with two variables. |
| plot_dotbox | Plot a dotplot on a boxplot with two variables. |
| plot_dotviolin | Plot a dotplot on a violin plot with two variables. |
| plot_gam_predict | Plot prediction of 'gam' model |
| plot_grafify_palette | See grafify colour palettes |
| plot_histogram | Plot data distribution as histograms. |
| plot_lm_predict | Plot data and predictions from linear model |
| plot_logscale | Add log transformations to graphs |
| plot_point_sd | Plot a point as mean with SD error bars using two variables. |
| plot_qqline | Plot quantile-quantile (QQ) graphs from data. |
| plot_qqmodel | Plot quantile-quantile (QQ) graphs from residuals of linear models. |
| plot_qq_gam | Plot model diagnostics for generalised additive models |
| plot_scatterbar_sd | Plot scatter dots on a bar graph with SD error bars with two variables. |
| plot_scatterbox | Plot a scatter plot on a boxplot with two variables. |
| plot_scatterviolin | Plot a scatter plot on a violin plot with two variables. |
| plot_xy_CatGroup | Plot points on a quantitative X - Y plot & a categorical grouping variable. |
| plot_xy_NumGroup | Plot points on a quantitative X - Y plot & a numeric grouping variable. |
| posthoc_Levelwise | Level-wise post-hoc comparisons from a linear or linear mixed effects model. |
| posthoc_Pairwise | Pairwise post-hoc comparisons from a linear or linear mixed effects model. |
| posthoc_Trends_Levelwise | Use emtrends to get level-wise comparison of slopes from a linear model. |
| posthoc_Trends_Pairwise | Use emtrends to get pairwise comparison of slopes from a linear model. |
| posthoc_Trends_vsRef | Use emtrends to get level-wise comparison of slopes from a linear model. |
| posthoc_vsRef | Post-hoc comparisons to a control or reference group. |
| scale_color_grafify | 'scale_colour_' and 'scale_fill_' functions |
| scale_colour_grafify | 'scale_colour_' and 'scale_fill_' functions |
| scale_fill_grafify | 'scale_colour_' and 'scale_fill_' functions |
| simple_anova | ANOVA table from a linear model fit to data. |
| simple_model | Model from a linear model fit to data. |
| table_summary | Get numeric summary grouped by factors |
| table_x_reorder | Reordering groups along X-axis |
| theme_grafify | A modified 'theme_classic()' for 'grafify'-like graphs. |