在尝试在R-Studio上运行ADF(Augmented Dickey Fuller)测试时,我似乎无法理解这个错误有什么问题。将欣赏评论。
library(AER)
library("dynlm", lib.loc="~/R/win-library/3.2")
x<-read.table("C://R Files/protein.csv", header=T, sep=",")
"adf" <- function(x,k = 0, int = TRUE, trend = FALSE){
require(dynlm)
dx <- diff(x)
formula <- paste("dx ~ L(x)")
if(k > 0)
formula <- paste(formula," L(dx,1:k)")
if(trend){
s <- time(x)
t <- ts(s - s[1],start = s[1],freq = frequency(x))
formula <- paste(formula," t")
}
if(!int) formula <- paste(formula," - 1")
summary(dynlm(as.formula(formula)))
}
a<-ts(x$a)
adf(a, k=1, int=T, trend=T)
我在此之后收到的错误消息是:
解析时出错(text = x,keep.source = FALSE): :1:13:意外的符号 1:dx~L(x)L ^
答案 0 :(得分:1)
可能是这样的:
formula <- paste(formula," L(dx,1:k)")
您不能只是向模型添加内容。尝试做:
formula <- paste(formula,"+ L(dx,1:k)")
看看是否有帮助。如果不是,您可能想要分享protein.csv的内容,以便我可以尝试重现您的问题。