在 radial.plot() 上绘制标准误差
Plotting standard error on radial.plot()
我正在使用 R
中 plotrix-package
的 radial.plot
函数。有谁知道实现标准错误栏的直接方法。即使每个径向位置有多个数据点,这可能导致 SE-bar
部分重叠(见下图),该解决方案也必须有效。
现在图表看起来像这样:
使用代码:
library(plotrix)
ppp <- matrix(runif(1:16, 10, 60), nrow=2, ncol=8)
kl <- c(0, pi/4, pi/2, pi*0.75,pi, pi+pi/4,pi+pi/2, pi+pi*0.75)
plot_rt_soa7 <- radial.plot(ppp,rp.type="p",radial.pos=kl,
label.pos=kl,start=pi/2,
labels=1:8,radial.lim=c(-10,65),main="SOA 7")
legend(45,50,c("T-oben", "T-unten"),col=1:2,lty=1)
错误栏可能看起来像像这样:
(来自 How to plot error bars in polar coordinates in python?)
如有任何帮助,我们将不胜感激
这里是一些基本代码,可以绘制 'x'(正交于半径)和 'y'(平行于半径)尺寸的误差线,以及一个中心值点。它不使用 plotrix
包来绘制错误栏,而是使用 R
基本图形。您必须提供尺寸的错误或注释掉绘制意外错误的代码部分。线宽、颜色、点颜色和点形状有几个图形参数。下面提供了示例图表。
library(plotrix)
set.seed(10) # seed for reproducable graph
ppp <- matrix(runif(1:16, 10, 60), nrow=2, ncol=8)
kl <- c(0, pi/4, pi/2, pi*0.75,pi, pi+pi/4,pi+pi/2, pi+pi*0.75)
start <- pi/2 # know starting value for plotting points angularl
rad_low_lim <- -10 # used when computing values of the error lines and in plot limits
plot_rt_soa7 <- radial.plot(ppp,rp.type="p"
,radial.pos=kl
,label.pos=kl
,start=start
,labels=1:8
,radial.lim=c(rad_low_lim,65)
,main="SOA 7")
legend(40,120,c("T-oben", "T-unten"),col=1:2,lty=1)
# generating random error values for both x and y
error_ppp_y <- matrix(rnorm(16, 15, 5), nrow=2, ncol=8)
error_ppp_x <- matrix(rnorm(16, 10, 3), nrow=2, ncol=8)
bar_cols <- c('blue','green') # colors for bars
lwds <- c(4,2) # line weights for bars
pts_cols <- c('black','red') # colors for points
pts_pch <- c(19,17) # point pch
# loop over the number of rows (T-oben and T-unten)
for(j in 1:2){
# loop over the observations
for(i in 1:ncol(ppp)){
# plotting the errors of the 'y' value
# center value is determined and errors are rotated to make
# parallel to the radius
lines(c(ppp[j,i]+error_ppp_y[j,i]-rad_low_lim,ppp[j,i]-error_ppp_y[j,i]-rad_low_lim)*cos(kl[i]+start)
,c(ppp[j,i]+error_ppp_y[j,i]-rad_low_lim,ppp[j,i]-error_ppp_y[j,i]-rad_low_lim)*sin(kl[i]+start)
,lwd=lwds[j]
,col=bar_cols[j]
)
# plotting the 'x' errors that are orthognal to the radius
# points are the "center" with the error values rotated to make them orthognal to the radius
# comment out if not desired
lines((ppp[j,i]-rad_low_lim)*cos(kl[i]+start)+c(error_ppp_x[j,i],-error_ppp_x[j,i])*cos(kl[i])
,(ppp[j,i]-rad_low_lim)*sin(kl[i]+start)+c(error_ppp_x[j,i],-error_ppp_x[j,i])*sin(kl[i])
,lwd=lwds[j]
,col=bar_cols[j]
)
# plotting points for the center
# comment out if not desired
points((ppp[j,i]-rad_low_lim)*cos(kl[i]+start)
,(ppp[j,i]-rad_low_lim)*sin(kl[i]+start)
,col=pts_cols[j]
,pch=pts_pch[j]
)
}
}
我正在使用 R
中 plotrix-package
的 radial.plot
函数。有谁知道实现标准错误栏的直接方法。即使每个径向位置有多个数据点,这可能导致 SE-bar
部分重叠(见下图),该解决方案也必须有效。
现在图表看起来像这样:
使用代码:
library(plotrix)
ppp <- matrix(runif(1:16, 10, 60), nrow=2, ncol=8)
kl <- c(0, pi/4, pi/2, pi*0.75,pi, pi+pi/4,pi+pi/2, pi+pi*0.75)
plot_rt_soa7 <- radial.plot(ppp,rp.type="p",radial.pos=kl,
label.pos=kl,start=pi/2,
labels=1:8,radial.lim=c(-10,65),main="SOA 7")
legend(45,50,c("T-oben", "T-unten"),col=1:2,lty=1)
错误栏可能看起来像像这样: (来自 How to plot error bars in polar coordinates in python?)
如有任何帮助,我们将不胜感激
这里是一些基本代码,可以绘制 'x'(正交于半径)和 'y'(平行于半径)尺寸的误差线,以及一个中心值点。它不使用 plotrix
包来绘制错误栏,而是使用 R
基本图形。您必须提供尺寸的错误或注释掉绘制意外错误的代码部分。线宽、颜色、点颜色和点形状有几个图形参数。下面提供了示例图表。
library(plotrix)
set.seed(10) # seed for reproducable graph
ppp <- matrix(runif(1:16, 10, 60), nrow=2, ncol=8)
kl <- c(0, pi/4, pi/2, pi*0.75,pi, pi+pi/4,pi+pi/2, pi+pi*0.75)
start <- pi/2 # know starting value for plotting points angularl
rad_low_lim <- -10 # used when computing values of the error lines and in plot limits
plot_rt_soa7 <- radial.plot(ppp,rp.type="p"
,radial.pos=kl
,label.pos=kl
,start=start
,labels=1:8
,radial.lim=c(rad_low_lim,65)
,main="SOA 7")
legend(40,120,c("T-oben", "T-unten"),col=1:2,lty=1)
# generating random error values for both x and y
error_ppp_y <- matrix(rnorm(16, 15, 5), nrow=2, ncol=8)
error_ppp_x <- matrix(rnorm(16, 10, 3), nrow=2, ncol=8)
bar_cols <- c('blue','green') # colors for bars
lwds <- c(4,2) # line weights for bars
pts_cols <- c('black','red') # colors for points
pts_pch <- c(19,17) # point pch
# loop over the number of rows (T-oben and T-unten)
for(j in 1:2){
# loop over the observations
for(i in 1:ncol(ppp)){
# plotting the errors of the 'y' value
# center value is determined and errors are rotated to make
# parallel to the radius
lines(c(ppp[j,i]+error_ppp_y[j,i]-rad_low_lim,ppp[j,i]-error_ppp_y[j,i]-rad_low_lim)*cos(kl[i]+start)
,c(ppp[j,i]+error_ppp_y[j,i]-rad_low_lim,ppp[j,i]-error_ppp_y[j,i]-rad_low_lim)*sin(kl[i]+start)
,lwd=lwds[j]
,col=bar_cols[j]
)
# plotting the 'x' errors that are orthognal to the radius
# points are the "center" with the error values rotated to make them orthognal to the radius
# comment out if not desired
lines((ppp[j,i]-rad_low_lim)*cos(kl[i]+start)+c(error_ppp_x[j,i],-error_ppp_x[j,i])*cos(kl[i])
,(ppp[j,i]-rad_low_lim)*sin(kl[i]+start)+c(error_ppp_x[j,i],-error_ppp_x[j,i])*sin(kl[i])
,lwd=lwds[j]
,col=bar_cols[j]
)
# plotting points for the center
# comment out if not desired
points((ppp[j,i]-rad_low_lim)*cos(kl[i]+start)
,(ppp[j,i]-rad_low_lim)*sin(kl[i]+start)
,col=pts_cols[j]
,pch=pts_pch[j]
)
}
}