数据拟合检验属于包裹柯西或冯·米塞斯

我的工作中有错误数据,我需要测试它是否属于von Mises或包装的柯西分布。我用von Mises的watson.test和包裹的柯西分布mwrapped柯西测试。 但是在我的工作中出现在R中的这个问题的问题找不到函数“ mwrapped”,“ watson”。 例如我们测试epsilon

epsilon<-c( 2.49723058,-0.3950603,-0.5350603,-1.899642,1.18661,-1.773387,-2.93964,2.16494,-0.8042236,-0.2996419,0.98035807,-0.9119328,2.238904,-1.333387,-0.13193,0.443486,-0.5242236,2.368067,0.400358,-1.748805,-1.437969,0.1497405,2.12661,1.248067,0.055776,0.0126489,1.48807,0.69432,1.37745,-0.78881,0.11578,1.97723,1.76494,2.109521,0.1849397,-1.39796863,-1.754841,1.525159,-1.936514,-1.579642,-0.276514,1.100358,-1.18255,0.772868,1.460577,-0.6994228,-0.125678,-1.127351,-0.9550603,0.3220314,1.08515885,0.74057718,-0.05797,-1.139642,-0.231933,-1.567351,0.49723058,2.42974053,-0.08713198,-1.151714,-0.9917137,-1.268805,-0.25506,1.49723058,-2.557969,-2.407132,-2.43171366,-0.367132,-2.041096,-2.23506,1.60494,2.746613,-0.207132,-1.14255,1.39578,-0.7950603,0.2818122,-0.8904786,0.7126489,-1.1691,-1.29339,-2.14277,-0.5458969,2.820358,0.5434855,1.30036,-1.299642,-0.1150603)

watson.test(epsilon,alpha=0,dist= "vonmises")

mwrappedg("cauchy",epsilon,starts=c(1,1),K=10,method="BFGS")
guiwullf 回答:数据拟合检验属于包裹柯西或冯·米塞斯

基R不能使用watson.testmwrappedg之类的功能,这就是显示这些错误的原因。对于watson.test,您必须使用circular R包;对于mwrappedg,您必须使用Wrapped R包。首先,您必须安装它们,然后可以使用like

install.packages(c("circular","Wrapped")
library(circular)
watson.test(x,alpha=0.05,dist="vonmises")
library(Wrapped)
mwrappedg("cauchy",epsilon,starts=c(1,1),K=10,method="BFGS")
本文链接:https://www.f2er.com/3166879.html

大家都在问