[英]R - multiple graphs in one plot, but transparency for overlying parts of graph not working
I am creating some frequency/density plots of altitude data in R. The code below is good for getting two different variables with each density and frequency in one graph. 我正在R中创建一些海拔数据的频率/密度图。下面的代码非常适合在一张图中获取两个不同的变量,每个密度和频率。 So in total its two bar graphs and two lines. 因此,总共有两个条形图和两条线。
The problem is, that the bar graphs are overlying each other and I can not get the transparency setting with 'alpha' correct. 问题是,条形图彼此重叠,我无法正确设置“ alpha”的透明度设置。 This is were I need some help. 这是我需要帮助的地方。 I guess its a very simple problem. 我想这是一个非常简单的问题。
I already tried the alpha
function at different places within the code, but it did not work. 我已经在代码中的不同位置尝试了alpha
函数,但是没有用。
hist(Lake_DF1[[6]], col=c("#006CFF"), border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), xlab = "Height [m]", main = "DTLB 6")
lines(density(na.omit(Lake_DF1[[6]])), lwd = 2)
hist(Buffer_DF1[[6]], col = c("#FF9900", alpha=0.4), border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), add=TRUE)
lines(density(na.omit(Buffer_DF1[[6]])), lwd = 2)
The only result I could get were striped bars of the second variable instead of transparent ones, see picture below. 我唯一能得到的结果是第二个变量的条形而不是透明的条形,请参见下图。 I would like to have the orange bars transparent to see the blue bars and the line through. 我想让橙色条透明,以查看蓝色条和穿过的线。
Consider using ?rgb
which allows the alpha argument. 考虑使用允许r参数的?rgb
。 Also, for better color comparison use the same color of differing alpha values. 另外,为了更好地进行颜色比较,请使用不同alpha值的相同颜色。
Blue 蓝色
# CONVERSION: #006CFF --> rgb(0,108,255)
hist(Lake_DF1[[6]], col = rgb(0/255, 108/255, 255/255, 0.4), border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), xlab = "Height [m]", main = "DTLB 6")
lines(density(na.omit(Lake_DF1[[6]])), lwd = 2)
hist(Buffer_DF1[[6]], col = rgb(0/255, 108/255, 255/255, 0.3),
border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), add=TRUE)
Orange 橙子
# CONVERSION: #FF9900 --> rgb(255,153,0)
hist(Lake_DF1[[6]], col = rgb(255/255, 153/255, 0/255, 0.4), border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), xlab = "Height [m]", main = "DTLB 6")
lines(density(na.omit(Lake_DF1[[6]])), lwd = 2)
hist(Buffer_DF1[[6]], col = rgb(255/255, 153/255, 0/255, 0.3),
border = "black", prob = TRUE,
# show densities instead of frequencies
breaks = 60, xlim = c(14,17), add=TRUE)
lines(density(na.omit(Buffer_DF1[[6]])), lwd = 2)
Data 数据
set.seed(8302019)
data_tools <- c("sas", "stata", "spss", "python", "r", "julia")
#################
### DATA BUILD
#################
Lake_DF1 <- data.frame(
group = sample(data_tools, 500, replace=TRUE),
int = sample(1:15, 500, replace=TRUE),
num1 = rnorm(500),
num2 = runif(500),
num3 = rnorm(500),
num4 = runif(500),
num5 = rnorm(500),
num6 = runif(500)
)
Buffer_DF1 <- data.frame(
group = sample(data_tools, 500, replace=TRUE),
int = sample(1:15, 500, replace=TRUE),
num1 = runif(500, 14, 17),
num2 = runif(500, 14, 17),
num3 = runif(500, 14, 17),
num4 = runif(500, 14, 17),
num5 = runif(500, 14, 17),
num6 = runif(500, 14, 17)
)
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