如何在FineUploader Azure请求中包含Content-MD5标头？(How to include Content-MD5 header in FineUploader Azure request?)

 我足够接近，可以回答我的原始问题。 为此目的，我对ggplot2失去了信心，因为我找不到使用coord_polar绘制多边形的方法。 我发现了另一个符合我需求的包，叫做“plotrix”。 无论如何这里是我使用的数据集的一个例子： 
 
# Wind-Currents data
intensity_measured <- matrix(c(0.20289, 0.14956, 0.24291, 0.35733, 0.59993, 0.89495, 0.71406, 0.38831), nrow=1, ncol=8)
intensity_simulated <- matrix(c(0.17853, 0.07568, 0.52146, 1.94222, 0.08634, 0.02636, 0.04742, 0.04162), nrow=1, ncol=8)
direction_measured <- matrix(c(42.21043, 88.41437, 137.7938, 182.6797, 227.6208, 269.7415, 313.8207, 358.0944), nrow=1, ncol=8)
direction_simulated <- matrix(c(36.13772, 85.17624, 148.96940, 176.66004, 210.36353, 282.38215, 314.35050, 0.72026), nrow=1, ncol=8)

# Library allowing polygon plot on polar coordinates
library(plotrix)

# Function for plotting wind data by date
polar.plot(rbind(intensity_measured, intensity_simulated),
           rbind(direction_measured, direction_simulated),main="My plot",
           rp.type="p", poly.col=c(rgb(255/255, 215/255, 0, .8),
           rgb(0, 0, 1, .8)), start=90, clockwise=TRUE, radial.labels = "",
           label.pos=NULL, line.col=c("black", "black"),
           radial.lim=c(0,max(rbind(intensity_measured, intensity_simulated))),
           boxed.radial=FALSE)
 
 我们到了 ： 
 
 
 这很清楚，所以，现在我可以比较我的测量风和模拟风！ 如果有人有个好主意，我仍然对使用ggplot2的解决方案感兴趣;） 
 
 感谢Stackoverflow社区，希望这个例子可以帮助你们中的一些人！ 

I'm close enough to give an answer to my original question I think. I lost my faith in ggplot2 for this purpose, since I couldn't find a way to plot polygons using coord_polar. I discovered an another package fitting my needs, called "plotrix". Anyway here is an example of dataset I used :
 
# Wind-Currents data
intensity_measured <- matrix(c(0.20289, 0.14956, 0.24291, 0.35733, 0.59993, 0.89495, 0.71406, 0.38831), nrow=1, ncol=8)
intensity_simulated <- matrix(c(0.17853, 0.07568, 0.52146, 1.94222, 0.08634, 0.02636, 0.04742, 0.04162), nrow=1, ncol=8)
direction_measured <- matrix(c(42.21043, 88.41437, 137.7938, 182.6797, 227.6208, 269.7415, 313.8207, 358.0944), nrow=1, ncol=8)
direction_simulated <- matrix(c(36.13772, 85.17624, 148.96940, 176.66004, 210.36353, 282.38215, 314.35050, 0.72026), nrow=1, ncol=8)

# Library allowing polygon plot on polar coordinates
library(plotrix)

# Function for plotting wind data by date
polar.plot(rbind(intensity_measured, intensity_simulated),
           rbind(direction_measured, direction_simulated),main="My plot",
           rp.type="p", poly.col=c(rgb(255/255, 215/255, 0, .8),
           rgb(0, 0, 1, .8)), start=90, clockwise=TRUE, radial.labels = "",
           label.pos=NULL, line.col=c("black", "black"),
           radial.lim=c(0,max(rbind(intensity_measured, intensity_simulated))),
           boxed.radial=FALSE)
 
Here we are :
 
 
This is pretty clear, so, now I can compare my measured and simulated winds ! I'm still interested in a solution using ggplot2 if anyone has a brilliant idea ;)
 
Thanks to the Stackoverflow community, hope this example can help some of you !