I have weekly data starting from 22May2016 till 30Apr2017. I have data in column backlog, when I create time series data using this column and try to forecast it doesn't capture data from backlog column. Instade take some different number, below is code I am using, can anyone please help me how can I do time series on weekly data
data <- read.csv("am.csv",header=T,na.strings=c(""))
data <- data[(data$ID %in% c('905')),]
data <- subset(data,select=c(Backlog))
ts <- ts(data$Backlog, frequency=52)
fit <- ets(ts)
plot(forecast(fit))
ID Date Backlog
905 1-Jan-17 0.97
905 2-Apr-17 0.95
905 2-Oct-16 0.98
905 3-Jul-16 0.96
905 4-Dec-16 0.96
905 4-Sep-16 0.99
905 5-Feb-17 0.94
905 5-Jun-16 0.98
905 5-Mar-17 0.94
905 6-Nov-16 0.91
905 7-Aug-16 0.95
905 8-Jan-17 0.67
905 9-Apr-17 0.97
905 9-Oct-16 0.71
905 10-Jul-16 0.92
905 11-Dec-16 0.92
905 11-Sep-16 0.93
905 12-Feb-17 0.95
905 12-Jun-16 0.87
905 12-Mar-17 0.88
905 13-Nov-16 1
905 14-Aug-16 0.87
905 15-Jan-17 0.89
905 16-Apr-17 0.99
905 16-Oct-16 0.84
905 17-Jul-16 0.9
905 18-Dec-16 0.83
905 18-Sep-16 0.94
905 19-Feb-17 1
905 19-Jun-16 0.95
905 19-Mar-17 0.97
905 20-Nov-16 0.96
905 21-Aug-16 0.99
905 22-Jan-17 0.92
905 22-May-16 0.99
905 23-Apr-17 0.98
905 23-Oct-16 0.86
905 24-Jul-16 0.91
905 25-Dec-16 0.93
905 25-Sep-16 0.96
905 26-Feb-17 0.98
905 26-Jun-16 0.91
905 26-Mar-17 0.95
905 27-Nov-16 0.92
905 28-Aug-16 0.95
905 29-Jan-17 0.95
905 29-May-16 0.96
905 30-Apr-17 0.94
905 30-Oct-16 0.92
905 31-Jul-16 0.96