Question

好吧所以我需要制作密度直方图。我有使用hist（）函数在R中绘制直方图所需的所有数据。我的意思是＆＃34; 密度直方图是我希望密度在Y轴上而类在x轴上。< /强>

这是我的数据：

<xarray.Dataset> Dimensions: (Time: 48, bottom_top: 50, bottom_top_stag: 51, soil_layers_stag: 4, south_north: 1015, south_north_stag: 1016, west_east: 1359, west_east_stag: 1360) Coordinates: XLAT (Time, south_north, west_east) float32 18.1363 18.1456 ... XLAT_U (Time, south_north, west_east_stag) float32 18.1316 ... XLAT_V (Time, south_north_stag, west_east) float32 18.1198 ... XLONG (Time, south_north, west_east) float32 -122.884 ... XLONG_U (Time, south_north, west_east_stag) float32 -122.901 ... XLONG_V (Time, south_north_stag, west_east) float32 -122.879 ... * Time (Time) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 ... * south_north (south_north) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ... * west_east (west_east) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ... * bottom_top (bottom_top) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ... Data variables: GRAUPEL_ACC_NC (Time, south_north, west_east) float32 0.0 0.0 0.0 0.0 ... P (Time, south_north, west_east) float32 101112.0 ... PREC_ACC_NC (Time, south_north, west_east) float32 0.0 0.0 0.0 0.0 ... QVAPOR (Time, south_north, west_east) float32 0.0120251 ... SNOW_ACC_NC (Time, south_north, west_east) float32 0.0 0.0 0.0 0.0 ... TK (Time, south_north, west_east) float32 295.372 295.367 ... Z (Time, south_north, west_east) float32 0.0 0.0 0.0 0.0 ...

现在我在r中所做的是

我用所有这些数据加载了文件并写了

Class Freq ClassWidth Density 30.0-32.0 8 2.0 4.0 32.0-33.0 7 1.0 7.0 33.0-34.0 10 1.0 10.0 34.0-34.5 25 0.5 50.0 34.5-35.0 30 0.5 60.0 35.0-35.5 40 0.5 80.0 35.5-36.0 45 0.5 90.0 36.0-50.0 5 14 0.357142857

有人可以帮助我解决我的问题。

谢谢

Answer 1

hist想要从原始数据计算自己的高度，但你可以用条形图得到你想要的东西。

barplot(data3$Density, names.arg=data3$Class, space=0, ylim=c(0,100))

使用hist（）在R中绘制密度直方图

1 个答案: