我对stackoverflow还是很陌生。 我想绘制矩形而不是线距,因为我想要黑色边框。实际上,我的教授想要一个黑色边框,但这不是stackoverflow的问题。
加载库并创建虚拟数据集
callback
如果仅使用线距进行绘制,则可以正常工作(目前还不允许嵌入图像)
[&,callback /*pass by value*/](std::error_code ec, std::size_t size)
{
if (!ec)
{
const auto available = m_socket->available();
m_buffer.resize(available);
m_buffer.shrink_to_fit();
asio::async_read(*m_socket, asio::buffer(m_buffer), asio::transfer_all());
}
callback(ec, std::move(m_buffer));
});
仅用矩形绘制的图,失败,带有 错误:离散值提供给连续刻度
library(tidyverse)
mydat <- tibble(
mymsmt = rep(c("bio", "bio", "den", "den"), 2),
mylvl = c("NT", "till", "NT", "till", "no", "yes", "no", "yes"),
mytrt = c(rep("tillage", 4), rep("herbicides", 4)),
est = c(-60, -13, -65, -40, -16, -24, -49, -50),
cilow = c(-85, -48, -78, -56, -61, -60, -68, -64),
ciup = c(8, 45, -44, -18, 79, 42, -20, -31)) %>%
# Dummy code mylvls as numeric
mutate(mylvln = rep(c(1, 2), 4))
具有线范围的图,被矩形覆盖, 您可以在后台看到线距
ggplot(mydat, aes(est, mylvl)) +
geom_linerangeh(aes(xmin = cilow, xmax = ciup), color = "blue", size = 5) +
# geom_rect(aes(xmin = cilow, xmax = ciup,
# ymin = mylvln - 0.2, ymax = mylvln + 0.2),
# fill = "red", color = "black") +
geom_point() +
facet_grid(mytrt ~ mymsmt, scales = "free")