## All functions

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_scatterbar()

Plot a scatter graph with matched shapes on a bar plot using three variables.

plot_3d_scatterbox()

Plot a scatter and box plot with matched symbols.

plot_3d_scatterviolin()

Plot a scatter with violin & box plot with matched symbols.

plot_4d_scatterbar()

Plot a dot plot with matched shapes on a box plot using four variables.

plot_4d_scatterbox()

Plot a dot plot with matched shapes on a box plot using four variables.

plot_4d_scatterviolin()

Plot a dot plot with matched shapes on a violin & box plot using four variables.

plot_bar_sd()

Plot a bar graph indicating mean with error bars (SD) using two variables.

plot_befafter_box()

Before-after style graph with a boxplot

plot_befafter_colours() plot_befafter_colors()

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()

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_colour_grafify() scale_color_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.