我想在plotly
图表
library(plotly)
d = data.frame(x=1:10, y=1:10)
plot_ly(d, x = ~x, y = ~y, type='scatter')
说我希望(D) y = 2x
作为一条线,我可以在d
答案 0 :(得分:4)
至少有两种模拟abline
的方法。
line
添加layout
形状缺点是每个跟踪的min
和max
需要计算(Plotly
无论如何都需要这样做,但它会使代码膨胀。)
替代方案是将线从一个极端绘制到另一个极端,然后手动设置xaxis
和yaxis
range
。
在下面的示例中,红线是添加的曲线,黑线是通过shape
line
添加的。
library('plotly')
#a function to calculate your abline
p_abline <- function(x, a=2, b=-5){
y <- a * x + b
return(y)
}
#create an empty plot
p <- plot_ly()
#list with all your x and y values
x <- list(c(1,2,3), c(2,3,6), (1:5))
y <- list(c(1,2,3), c(0,5,10), sample(-10:10, 5))
#loop through the x/y values and determine min/max
for (i in 1:length(x)) {
p<-add_trace(p, y=y[[i]], x=x[[i]] , type="scatter", mode="markers+lines")
if (i == 1 || max(x[[i]]) > max_x) {
max_x = max(x[[i]])
}
if (i == 1 || max(y[[i]]) > max_y) {
max_y = max(y[[i]])
}
if (i == 1 || min(x[[i]]) < min_x) {
min_x = min(x[[i]])
}
if (i == 1 || min(y[[i]]) < min_y) {
min_y = min(y[[i]])
}
}
#add a trace to simulate abline
p<-add_trace(p, x=c(min_x, max_x), y=c(p_abline(min_x), p_abline(max_x)) , type="scatter", mode="lines", name='abline')
#add a shape (line) to simulate abline
p <- p %>% layout(
shapes=list(type='line', x0=min_x, x1=max_x, y0=p_abline(min_x, -1, 3), y1=p_abline(max_x, -1, 3))
)
p
答案 1 :(得分:0)
library(plotly)
d = data.frame(x=1:10, y=1:10)
plot_ly(d, x = ~x, y = ~y, type='scatter') %>%
add_trace(d, x = ~x, y = ~x * 2, type = "scatter")
事实证明,您可以在要说y的add_trace函数调用中直接进行数学运算。这样一来,您就可以说要在参数中将该列乘以2。