Fast way to create bar plots
plot_bars() Creates a bar plot based on one categorical variable and one numeric variable. It can be used to show the results of a one-way trial with qualitative treatments .plot_factbars() Creates a bar plot based on two categorical variables and one numeric variable. It can be used to show the results of a two-way trial with qualitative-qualitative treatment structure .plot_bars( .data, x, y, order = NULL, y.lim = NULL, y.breaks = waiver(), y.expand = 0.05, y.contract = 0, xlab = NULL, ylab = NULL, n.dodge = 1, check.overlap = FALSE, color.bar = "black", fill.bar = "gray", lab.bar = NULL, lab.bar.hjust = 0.5, lab.bar.vjust = -0.5, lab.bar.angle = 0, size.text.bar = 5, values = FALSE, values.hjust = 0.5, values.vjust = 1.5, values.angle = 0, values.digits = 2, values.size = 4, lab.x.hjust = 0.5, lab.x.vjust = 1, lab.x.angle = 0, errorbar = TRUE, stat.erbar = "se", width.erbar = NULL, level = 0.95, invert = FALSE, width.bar = 0.9, size.line = 0.5, size.text = 12, fontfam = "sans", na.rm = TRUE, verbose = FALSE, plot_theme = theme_metan() ) plot_factbars( .data, ..., resp, y.lim = NULL, y.breaks = waiver(), y.expand = 0.05, y.contract = 0, xlab = NULL, ylab = NULL, n.dodge = 1, check.overlap = FALSE, lab.bar = NULL, lab.bar.hjust = 0.5, lab.bar.vjust = -0.5, lab.bar.angle = 0, size.text.bar = 5, values = FALSE, values.hjust = 0.5, values.vjust = 1.5, values.angle = 0, values.digits = 2, values.size = 4, lab.x.hjust = 0.5, lab.x.vjust = 1, lab.x.angle = 0, errorbar = TRUE, stat.erbar = "se", width.erbar = NULL, level = 0.95, invert = FALSE, col = TRUE, palette = "Spectral", width.bar = 0.9, legend.position = "bottom", size.line = 0.5, size.text = 12, fontfam = "sans", na.rm = TRUE, verbose = FALSE, plot_theme = theme_metan() )
.data: The data set.
x, y: Argument valid for plot_bars() The variables to be mapped to the x and y axes, respectively.
order: Argument valid for plot_bars(). Controls the order of the factor in the x axis. Defaults to the order of the factors in .data. Use order = "asce" or order = "desc" to reorder the labels to ascending or descending order, respectively, based on the values of the variable y.
y.lim: The range of y axis. Defaults to NULL (maximum and minimum values of the data set). New values can be inserted as y.lim = c(y.min, y.max).
y.breaks: The breaks to be plotted in the y-axis. Defaults to waiver(). authomatic breaks. The same arguments than x.breaks can be used.
y.expand, y.contract: A multiplication range expansion/contraction factor. y.expand expands the upper limit of the y escale, while y.contract contracts the lower limit of the y scale. By default y.expand = 0.05 and y.contract = 0 produces a plot without spacing in the lower y limit and an expansion in the upper y limit.
xlab, ylab: The labels of the axes x and y, respectively. Defaults to NULL.
n.dodge: The number of rows that should be used to render the x labels. This is useful for displaying labels that would otherwise overlap.
check.overlap: Silently remove overlapping labels, (recursively) prioritizing the first, last, and middle labels.
color.bar, fill.bar: Argument valid for plot_bars(). The color and fill values of the bars.
lab.bar: A vector of characters to show in each bar. Defaults to NULL.
lab.bar.hjust, lab.bar.vjust: The horizontal and vertical adjust for the labels in the bar. Defaults to 0.5 and -0.5, respectively.
lab.bar.angle: The angle for the labels in the plot. Defaults to 0. Use in combination with lab.bar.hjust and lab.bar.vjust to best fit the labels in the plot.
size.text.bar: The size of the text in the bar labels.
values: Logical argument. Shows the values in the plot bar? Defaults to FALSE
values.hjust, values.vjust: The horizontal and vertical adjust for the values in the bar. Defaults to 0.5 and 1.5, respectively. If values = TRUE the values are shown bellow the error bar.
values.angle: The angle for the labels in the plot. Defaults to 0. Use in combination with values.hjust and values.vjust
to best fit the values in the plot bar.
values.digits: The significant digits to show if values = TRUE. Defaults to 2.
values.size: The size of the text for values shown in the bars. Defaults to 3.
lab.x.hjust, lab.x.vjust: The horizontal and vertical adjust for the labels in the bar. Defaults to 0.5 and 1, respectively.
lab.x.angle: The angle for the labels in x axis. Defaults to 0. Use in combination with lab.x.hjust and lab.x.vjust to best fit the labels in the axis.
errorbar: Logical argument, set to TRUE. In this case, an error bar is shown.
stat.erbar: The statistic to be shown in the errorbar. Must be one of the stat.erbar = "se" (standard error, default), stat.erbar = "sd" (standard deviation), or stat.erbar = "ci" (confidence interval), based on the confidence level in the argument level.
width.erbar: The width of the error bar. Defaults to 25% of width.bar.
level: The confidence level
invert: Logical argument. If TRUE, rotate the plot in plot_bars() and invert the order of the factors in plot_factbars().
width.bar: The width of the bars in the graph. Defaults to 0.9. Possible values are in the range 0-1.
size.line: The size of the line in the bars. Default to 0.5.
size.text: The size of the text. Default to 12.
fontfam: The family of the font text. Defaults to "sans".
na.rm: Should 'NA' values be removed to compute the statistics? Defaults to true
verbose: Logical argument. If TRUE a tibble containing the mean, N, standard deviation, standard error of mean and confidence interval is returned.
plot_theme: The graphical theme of the plot. Default is plot_theme = theme_metan(). For more details, see ggplot2::theme().
...: Argument valid for plot_factbars(). A comma-separated list of unquoted variable names. Sets the two variables to be mapped to the x axis.
resp: Argument valid for plot_factbars(). The response variable to be mapped to the y axis.
col: Logical argument valid for plot_factbars(). If FALSE, a gray scale is used.
palette: Argument valid for plot_factbars() The color palette to be used. For more details, see ?scale_colour_brewer
legend.position: The position of the legend in the plot.
An object of class gg, ggplot.
library(metan) # two categorical variables plot_factbars(data_ge2, GEN, ENV, resp = PH) # one categorical variable p1 <- plot_bars(data_g, GEN, PH) p2 <- plot_bars(data_g, GEN, PH, n.dodge = 2, # two rows for x labels y.expand = 0.1, # expand y scale y.contract = -0.75, # contract the lower limit errorbar = FALSE, # remove errorbar color.bar = "red", # color of bars fill.bar = alpha_color("cyan", 75), # create a transparent color lab.bar = letters[1:13]) # add labels arrange_ggplot(p1, p2)
plot_lines(), plot_factlines()
Tiago Olivoto tiagoolivoto@gmail.com
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