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我目前在此网站上使用蒙特卡洛方法http://www.quantpsy.org/medmc/medmc.htm。虽然代码(有一些小的调整)与我的2x2或3x3矩阵的工作,我不断收到以下错误代码为我的4x4矩阵:R矩阵中的代码错误:'dimnames'必须是列表
错误矩阵(C(0.0461705,0,0,0,0, 0.0028639,0,0,0,0,0.0740766,: 'dimnames' 必须是一个列表
什么我做错了,我该如何解决这一错误消息
################################################
# This code can be edited in this window and #
# submitted to Rweb, or for faster performance #
# and a nicer looking histogram, submit #
# directly to R. #
################################################
require(MASS)
a=1.1727132
b=0.2171818
c=1.3666784
d=0.1850852
rep=20000
conf=95
pest=c(a,b,c,d)
acov <- matrix(c(
0.0461705, 0, 0, 0,
0, 0.0028639, 0, 0,
0, 0, 0.0740766, 0,
0, 0, 0, 0.0013694
),4,4,4,4)
mcmc <- mvrnorm(rep,pest,acov,empirical=FALSE)
abcd <- mcmc[,1]*mcmc[,2]*mcmc[,3]*mcmc[,4]
low=(1-conf/100)/2
upp=((1-conf/100)/2)+(conf/100)
LL=quantile(abcd,low)
UL=quantile(abcd,upp)
LL4=format(LL,digits=4)
UL4=format(UL,digits=4)
################################################
# The number of columns in the histogram can #
# be changed by replacing 'FD' below with #
# an integer value. #
################################################
hist(abcd,breaks='FD',col='skyblue',xlab=paste(conf,'% Confidence Interval ','LL',LL4,' UL',UL4),
main='Distribution of Indirect Effect')
谢谢
?!
'matrix'的参数过多:应该是'matrix(c(...),4,4)' –