儲存與匯出 xts 物件

個案研究：在 R 中分析城市時間序列資料

Lore Dirick

Manager of Data Science Curriculum at Flatiron School

儲存為 rds

使用 saveRDS() 與 readRDS()

saveRDS(citydata, file = "citydata.rds")

              pop pct_growth
1980-01-01 562994         NA
1990-01-01 574823   2.057851
2000-01-01 589141   2.430318
2010-01-01 617594   4.607072

使用 write.zoo() 與 read.zoo()

write.zoo(citydata, file = "citydata.csv", sep = ",")

citydata <- read.zoo("citydata.csv", sep = ",", header = TRUE)

as.xts(citydata)

              pop pct_growth
1980-01-01 562994         NA
1990-01-01 574823   2.057851
2000-01-01 589141   2.430318
2010-01-01 617594   4.607072

個案研究：在 R 中分析城市時間序列資料