Nothing
## ----style, echo=FALSE, results="asis", message=FALSE-------------------------
knitr::opts_chunk$set(tidy = FALSE,
message = FALSE)
library(dplyr)
library(plotbb)
## ----include=F----------------------------------------------------------------
library(dplyr)
library(plotbb)
## ----plotbb-aes---------------------------------------------------------------
library(plotbb)
p <- bbplot(mtcars, bb_aes(mpg, disp, col=factor(cyl)))
p + bb_grid(col='grey50', lty='dashed') + bb_point(pch=19)
## ----plotbb-layer, fig.width=12-----------------------------------------------
p2 <- p + bb_point() + bb_lm(bb_aes(group=cyl), lwd=2)
p3 <- p2 + bb_lm(col="red", lwd=3, lty='dotted')
p4 <- p + bb_text(bb_aes(label=cyl), cex=2)
## oldpar <- par()$mfrow
## par(mfrow=c(1,3))
## p2; p3; p4
## par(mfrow=oldpar)
aplot::plot_list(p2, p3, p4, ncol=3, tag_levels = 'A')
## ----plotbb-heatmap, fig.width=10, fig.height=10------------------------------
df <- data.frame(x = rep(1:10, 12),
y = rep(1:12, each = 10),
values = rnorm(120, mean = 10, sd = 5),
type = sample(LETTERS[1:5], 120, replace=TRUE),
stringsAsFactors = FALSE)
h1 <- bbplot(df, bb_aes(x,y, col=values)) + bb_tile() +
bb_title("heatmap for continuous numerical values")
h2 <- bbplot(df, bb_aes(x,y, col=values)) + bb_tile() + bb_scale_col_palette("YlOrRd") +
bb_title("applying a color palette")
h3 <- bbplot(df, bb_aes(x,y, col=type)) + bb_tile() +
bb_title("heatmap for discrete categorical values")
h4 <- bbplot(df, bb_aes(x,y, col=values)) + bb_tile() + bb_text(col='black') +
bb_title("heatmap with text labels") + bb_theme_expand()
aplot::plot_list(h1, h2, h3, h4, ncol=2, tag_levels = 'A')
## ----plotbb-labs--------------------------------------------------------------
p2 + bb_labs(title = "hello", sub = "just for demo",
xlab="this is xlab", ylab = "this is ylab") +
bb_title("hello world") # last one rules
## ----plotbb-theme, fig.width=10-----------------------------------------------
g <- p2 +
bb_theme(col.main="red", cex.main=2,
mar = c(4, 4, 3, 1)) +
bb_title("applying graphics::par")
g2 <- p2 + bb_title("theme has no side effect")
aplot::plot_list(g, g2, ncol=2, tag_levels = 'A')
## ----plotbb-theme-expand, fig.width=10----------------------------------------
p4 <- p3 + bb_theme_expand()
aplot::plot_list(p4, p3, ncol=2, tag_levels = 'A')
## ----plotbb-theme-grey--------------------------------------------------------
p + bb_grid(col='grey50', lty='dashed') +
bb_point(pch=19) +
bb_theme_expand() +
bb_theme_grey()
## ----plotbb-theme-blue--------------------------------------------------------
p + bb_point(pch=19, cex=2) +
bb_theme_expand() +
bb_theme_deepblue()
## -----------------------------------------------------------------------------
f <- function() {
plot(mtcars$mpg, mtcars$disp)
abline(lm(disp ~ mpg, data=mtcars), col='red')
}
## -----------------------------------------------------------------------------
library(dplyr)
d <- group_by(mtcars, cyl) %>%
summarize(xm=mean(mpg), ym=mean(disp))
pp <- as.bbplot(f) +
bb_theme_expand() +
bb_theme_grey() +
bb_lm(bb_aes(mpg, disp, group=cyl, col=factor(cyl)), data=mtcars, lwd=2, lty='dashed') +
bb_point(bb_aes(xm, ym, col=factor(cyl)), data=d, pch=19, cex=2) +
bb_title("hello plotbb") +
bb_grid(col='grey30', lty='dashed') ## grid lines were plotted as background by default
## ----plotbb-base--------------------------------------------------------------
pp + (~points(30, 400, pch=19, col="red", cex=3)) +
~text(30, 420, label="hae fun :)", col="blue", cex=1.2)
## ----plotbb-ape, fig.width=8, figh.height=7-----------------------------------
require(ape)
set.seed(2020-09-10)
x = rtree(10)
p = as.bbplot(
function()
plot(x, cex=2, edge.width=2,
edge.color="white", tip.color='purple')
)
p + bb_theme_expand() + bb_theme_deepblue() +
(~nodelabels(node = 14, pie = matrix(rep(1, 4), 1), cex = 2)) +
(~nodelabels(node = 15, pie = matrix(rep(1, 3), 1), cex = 2)) +
(~nodelabels(node = 18, pie = matrix(rep(1, 5), 1), cex = 2)) +
bb_labs(title = 'phylogenetic tree plotted by base graphics') +
bb_theme(col.main = "firebrick", cex.main=2)
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