到目前为止,我能做到的最好的是:
par(bg="black")
plot(seq(0.15,0.85,by=0.01),
5*dbeta(seq(0.15,0.85,by=0.01),10,10 ),
type="l" , ylim=c(0,700) ) # this just sets up the plotting framework.
for( i in 1:200 ) { lines(x= seq(0.15,0.85,by=0.01),
y= i*dbeta(seq(0.15,0.85,by=0.01),10,10 ),
col= colorRampPalette(c("yellow", "orange", "red", "hotpink",
"violet", "blue", "lightblue", "lightgreen", "darkgreen",
"black"))(200)[i],
lwd=13) }
par(bg="white")
我确实发现在该系列的开头添加“黑色”颜色会为整体结果添加额外的“发光”,但我没有发布该结果。
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这是我开始的,然后出现了逐次逼近和调整:
plot(seq(0.15,0.85,by=0.01), 5*dbeta(seq(0.15,0.85,by=0.01),10,10 ),
type="l" , ylim=c(0,100))
for( i in seq(0.2, 5) ) { lines(seq(0.15,0.85,by=0.01),
i*5*dbeta(seq(0.15,0.85,by=0.01),10,10 ) ) }
颜色:
plot(seq(0.15,0.85,by=0.01), 5*dbeta(seq(0.15,0.85,by=0.01),10,10 ), type="l" ,
ylim=c(0,130))
for( i in 1:35 ) {lines(seq(0.15,0.85,by=0.01), i*dbeta(seq(0.15,0.85,by=0.01), 10,10 ),
col=colorRampPalette(c("yellow", "orange", "red", "violet",
"blue", "lightblue", "lightgreen"))(35)[i],
lwd=3) }
对于黑色背景和较浓的颜色以及顶部渐变为黑色:
par(bg = 'black')
plot(seq(0.15,0.85,by=0.01), 5*dbeta(seq(0.15,0.85,by=0.01),10,10 ), type="l",
ylim=c(0,130) )
for( i in 1:35 ) { lines(seq(0.15,0.85,by=0.01), i*dbeta(seq(0.15,0.85,by=0.01),10,10),
col=colorRampPalette(c("yellow", "orange", "red", "violet",
"blue", "lightblue", "lightgreen", "darkgreen",
"black")) (35)[i],
lwd=13) }
我注意到淡入黑色方面也控制了两侧的线宽。我没想到会这样,但它似乎是一个理想的功能。此处未涉及的另一个方面是增加透明度的可能性。 R RGB 函数中有一个 alpha 参数。
通过名称查找颜色的一个有用技巧:
grep("purple", colors(), value=TRUE)
[1] "mediumpurple" "mediumpurple1" "mediumpurple2" "mediumpurple3" "mediumpurple4"
[6] "purple" "purple1" "purple2" "purple3" "purple4"
如果您正在玩迭代以使渐变更平滑,那么您还需要调整 ylim 参数:选择 0.5^9*0.5^9/beta(10,10)*[iterations] ,因为那将是x=0.5 时的最大值。