Description Usage Arguments Value Author(s) See Also Examples
plot_lines()
Creates a line plot based on one quantitative factor
and one numeric variable. It can be used to show the results of a oneway
trial with quantitative treatments.
plot_factlines()
Creates a line plot based on: one categorical and one quantitative factor and
one numeric variable. It can be used to show the results of a
twoway trial with qualitativequantitative treatment structure.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43  plot_lines(
.data,
x,
y,
fit,
level = 0.95,
confidence = TRUE,
xlab = NULL,
ylab = NULL,
n.dodge = 1,
check.overlap = FALSE,
col = "red",
alpha = 0.2,
size.shape = 1.5,
size.line = 1,
size.text = 12,
fontfam = "sans",
plot_theme = theme_metan()
)
plot_factlines(
.data,
x,
y,
group,
fit,
level = 0.95,
confidence = TRUE,
xlab = NULL,
ylab = NULL,
n.dodge = 1,
check.overlap = FALSE,
legend.position = "bottom",
grid = FALSE,
scales = "free",
col = TRUE,
alpha = 0.2,
size.shape = 1.5,
size.line = 1,
size.text = 12,
fontfam = "sans",
plot_theme = theme_metan()
)

.data 
The data set 
x, y 
The variables to be mapped to the 
fit 
The polynomial degree to use. It must be between 1 (linear fit) to
4 (fourthorder polynomial regression.). In 
level 
The fonfidence level. Defaults to 
confidence 
Display confidence interval around smooth? (TRUE by default) 
xlab, ylab 
The labels of the axes x and y, respectively. Defaults to

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. 
col 
The colour to be used in the line plot and points. 
alpha 
The alpha for the color in confidence band 
size.shape 
The size for the shape in plot 
size.line 
The size for the line in the plot 
size.text 
The size of the text 
fontfam 
The family of the font text. 
plot_theme 
The graphical theme of the plot. Default is

group 
The grouping variable. Valid for 
legend.position 
Valid argument for 
grid 
Valid argument for 
scales 
Valid argument for 
An object of class gg, ggplot
.
Tiago Olivoto tiagoolivoto@gmail.com
plot_bars()
and plot_factbars()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21  library(metan)
# Oneway line plot
df1 < data.frame(group = "A",
x = c(0, 100, 200, 300, 400),
y = c(3.2, 3.3, 4.0, 3.8, 3.4))
plot_lines(df1, x, y, fit = 2)
# Twoway line plot
df2 < data.frame(group = "B",
x = c(0, 100, 200, 300, 400),
y = c(3.2, 3.3, 3.7, 3.9, 4.1))
facts < rbind(df1, df2)
p1 < plot_factlines(facts, x, y, group = group, fit = 1)
p2 < plot_factlines(facts,
x = x,
y = y,
group = group,
fit = c(2, 1),
confidence = FALSE)
arrange_ggplot(p1, p2)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.