Difference between revisions of "PowerExtrapolation.R"
From Organic Design wiki
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dset <- as.data.frame(t(dset)) | dset <- as.data.frame(t(dset)) | ||
colnames(dset) <- c("Date", "kwh", "dailyCharge") | colnames(dset) <- c("Date", "kwh", "dailyCharge") | ||
+ | |||
+ | dset$Date <- dates(levels(dset$Date)[unclass(dset$Date)]) | ||
+ | |||
+ | plot(dset$Date, as.numeric(as.vector(dset$kwh))) |
Revision as of 20:13, 11 February 2007
library(chron)
dset <- scan(what="") 11/1/00 10.70 60 5/1/05 11.81 33.26 1/1/02 12.36 34.8 4/1/02 11.84 33.67 10/1/02 11.82 33.64 3/1/03 11.82 33.33 10/1/03 13.84 33.33 10/1/04 13.77 33.33 11/1/04 15.26 33.33 12/1/04 14.07 59.59 4/1/05 14.528 60.55 10/1/05 15.7 64.68 3/1/06 16.4 66.02 6/1/06 14.78 33.33 ""
dim(dset) <- c(3, length(dset)/3) dset <- as.data.frame(t(dset)) colnames(dset) <- c("Date", "kwh", "dailyCharge")
dset$Date <- dates(levels(dset$Date)[unclass(dset$Date)])
plot(dset$Date, as.numeric(as.vector(dset$kwh)))