我想在绘制一些预测时改变x轴.该模型每日通过crontab更新.x比例必须包括日期的每日增加:
示例数据:
# where dates changes according to Sys.Date-1
dates <- seq(as.Date("2015-01-01"), Sys.Date()-1, by = "days")
# where x is updated daily
x <- diffinv(rnorm(length(dates)-1))
df<-data.frame(dates,x)
# split data and train model
df$x<-as.ts(df$x)
# required libraries
library(caret)
library(forecast)
library(plyr)
# the time series is updated on daily basis
date1 <- strptime("2016-02-04", format="%Y-%m-%d")
date2 <- strptime(Sys.time()-1, format="%Y-%m-%d")
date3<-difftime(date2,date1,units="days")
# here I split data into time and test data according to initialWindow "2016-02-04"
timeSlices <- createTimeSlices(1:nrow(df),
initialWindow = 400, horizon = date3, fixedWindow = TRUE)
#extract data for fitting the model
trainSlices <- timeSlices[[1]]
testSlices <- timeSlices[[2]]
# here I calculate the fit and forecast
fit <- tbats(df[trainSlices[[1]],]$x, seasonal.periods=c(7,365), use.trend=TRUE, use.parallel=TRUE)
pred <- forecast(fit,h=length(df[testSlices[[1]],]$x))
# here I plot actual vs. predicted values
plot(forecast(fit,h=length(df[testSlices[[1]],]$x)),ylab = "x ",xlab="Daily units from 2015-01-01 to CurrentDate", main="Forecast", include=30)
lines(x = as.numeric(rownames(df[testSlices[[1]],])), df[testSlices[[1]],]$x, col = "red")
legend(x = "topleft", legend = c("Prediction", "Actual Data"), col = c("blue", "red"), lty = c(1, 1))
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我想将每日单位更改为dates scaleaka 2015-07-01等等,这也反映在每日更新中.我试图使用xaxt="n"和添加dates scale有Sys.Date()-1:
dates <- seq(Sys.Date()-30, Sys.Date()-1, by = "days")
plot(xaxt="n",forecast(fit,h=length(df[testSlices[[1]],]$x)),ylab = "x ",xlab="Daily units from 2015-01-01 to CurrentDate", main="Forecast", include=30)
lines(x = as.numeric(rownames(df[testSlices[[1]],])), df[testSlices[[1]],]$x, col = "red")
legend(x = "topleft", legend = c("Prediction", "Actual Data"), col = c("blue", "red"), lty = c(1, 1))
# here I wanted to add the new scale
axis(1, at = dates,labels = TRUE)
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但这并没有绘制x尺度.
你axis()没有展示的原因是因为include =30它只显示窗口中最后30个元素,但实际上轴从1开始.
如果将轴滑动到当前窗口,则会显示:
plot(xaxt="n",forecast(fit,h=length(df[testSlices[[1]],]$x-1)),ylab = "x ",xlab="Daily units from 2015-01-01 to CurrentDate", main="Forecast", include=30)
lines(x = as.numeric(rownames(df[testSlices[[1]],])), df[testSlices[[1]],]$x, col = "red")
legend(x = "topleft", legend = c("Prediction", "Actual Data"), col = c("blue", "red"), lty = c(1, 1))
at <- seq(1,as.integer(date3),length.out=4)
dates <- seq(date1, date2, by="days")[at]
axis(1, at = at+400, labels = dates)
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