> #####MCAR
> library(simFrame)
Loading required package: Rcpp
Loading required package: lattice
Loading required package: parallel
Warning messages:
1: package ‘simFrame’ was built under R version 3.4.4
2: package ‘Rcpp’ was built under R version 3.4.4
> bar<-rnorm(100,10,1) #situmlation data
> nc<-NAControl(NArate=0.2) #set missing rate
> x<-setNA(bar,nc) #insert into missing data from bar
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘setNA’ for signature ‘"numeric", "NAControl"’
如上,本人想用r中的simFrame包来模拟缺失,完全随机缺失MCAR,到缺失比例这一步还是可以的,可是下面这一句报错,不知道该如何解决?
> x<-setNA(bar,nc) #insert into missing data from bar
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘setNA’ for signature ‘"numeric", "NAControl"’
本人还处于入门级别的菜鸟,请各位大神多多指教。
或者有没有其他方法可以模拟数据的缺失,MCAR,我的研究是先生成一个完整矩阵,再设置缺失比例,生成缺失矩阵,之后进行分析。
求帮助!