date day D1 D2 D4 D5W1 D7W2
01-01-2014 1 1 0 0 0 0
02-01-2014 2 0 1 0 0 0
03-01-2014 3 0 0 0 0 0
04-01-2014 4 0 0 1 0 0
05-01-2014 5 0 0 0 1 0
06-01-2014 6 0 0 0 0 0
07-01-2014 7 0 0 0 0 0
08-01-2014 8 0 0 0 0 0
I have a dataset till current date along with several dummy variables wherein I am doing forecasting. I have a regression output where I am getting the weights for all the dummy variables which are
D1 D2 D4 D5W1 D7W2
0.03 0.04 0.02 0.01 -0.05
The desired output is to generate a factor which will be generated by the multiplying weights from the regression output with the dummy variables corresponding to each date.
date factor
01-01-2014
02-01-2014
03-01-2014
04-01-2014
05-01-2014
06-01-2014
Also a solution can be using sqldf package if data is in a data frame which is named df
:
library(sqldf)
result <- sqldf("SELECT date, 0.03 * D1 + 0.04 * D2 + 0.02 * D4 + 0.01 * D5W1 - 0.05 * D7W2 as factor
FROM df")
得到结果。将两个数据集从宽格式转换为长格式。使用变量作为键合并长数据集,然后将两列相乘并将其转换回宽格式。使用 value.var 的输出产品使用 dcast 功能。
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