怎么样把导入R的数据定义为时间序列数据

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Hi there,

I'm trying out R and would like to first import a time series variable into R. As you can see in the picture attached, the upper part with large numbers, i.e., 38,430.18, 38,134.14, etc., are my real dataset; however, when I use ts() command to define the data as time series, all the values become integers in the lower table, 1, 2, 3, ....21, 22, 53, 54,...,88,...

What do you think could be wrong and how can I fix it?

Thanks!

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关键词：时间序列数据 序列数据 时间序列 怎么样 Time Series command however numbers become import

已解决，谢谢！

R_i =  read.table("5minET500.csv",
                  header = TRUE,
                  sep = ",",
                  row.names = NULL
)
#数据整理
R.xts <- xts(R_i, as.POSIXct(R_i[, 1]))

找了很久，终于找到了。换成自己的数据就可以了