Description Usage Arguments Details
Scatter plot for continuous variables and associated statistics
1 2 3 4 5 6 7 | plotContCont(x, y, main = NULL, tag = "", xlab = "", ylab = "",
theme_bw = TRUE, alpha = 1, size = 5, sizeExpand = 6, shape = 20,
sizeaxis = 12, sizeaxistitlerel = 1.2, sizetitlerel = 0.8, lm = FALSE,
lmcol = "blue2", lmsize = 2, lmlty = 2, smooth = FALSE, plot = TRUE,
ylim = NULL, xlim = NULL, labels = NULL, sizelab = 3,
colab = "purple", vjust = 1.9, hjust = 0.5, expand = NULL,
plot.margin.cm = c(0.2, 1.2, 0.2, 0.2))
|
x |
continuous vector |
y |
continuous vector |
tag |
used to add a tag to the title |
xlab |
xlab |
ylab |
ylab |
theme_bw |
logical if bw theme is imposed |
alpha |
alpha transparancy for the points |
size |
size passed to geom_point() |
sizeExpand |
size when expanded |
shape |
shape passed to geom_point() |
sizeaxis |
axis text size (tick text) |
sizeaxistitlerel |
relative axis title size (tick text) |
sizetitlerel |
relative size for main title |
lm |
if to add a lm fit line |
smooth |
if to add a smooth line |
ylim |
ylim |
xlim |
xlim |
labels |
a vector of IDs to be added to each data point |
sizelab |
size for label under each data point |
expand |
whether to expand the size and axis title (useful if figure is to be copied in slides with multiple panels) |
plot.margin.cm |
the right margin might be too small to show full axis text; this specifies margins in top, right, bottom, left |
for cont~cont, we need a scatter plot. An lm fit with p value and R^2. A trend fit with smoothing can be added. Spearman corr. and Pearson Corr.
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