Nothing
require("CDNmoney")
require("tfplot")
data("CanadianMoneyData.asof.26Aug2002", package="CDNmoney")
if(!require("tframe")) stop("This test requires the tframe package.")
cat("################ Calculations to get monetary aggregates\n")
M1gross <- tframed(MB2001 + MB486 + MB487p + TMLinterbank, names="gross M1 (B2054)")
M1p <- tframed(MB2001 + MB486 + MB487p + MB452 + MB452adj + MB472 + NonbankCheq, names="M1+ (B2060)")
M1pp <- tframed(CUadj + M1p + MB453 + MB473 + MB473adj + NonbankNonCheq, names="M1++ (B2061)")
M2 <- tframed(M1total + MB472 + MB473 + MB452 + MB453 + MB454, names="M2 (B2031)")
M2p <- tframed(M2 + NonbankCheq + NonbankNonCheq + NonbankTerm
+ MB2046 + MB2047 + MB2048, names="M2+ (B2037)")
M2pp <- tframed(M2p + MB2057 + MB2058, names="M2++ (B2059)")
M3 <- tframed(M2 + MB475 + MB482, names="M3 (B2030)")
fuzz <- 1e-4
if (max(abs(M1total + float - M1gross)) > fuzz)
stop("M1total + float = M1gross does not check out.")
# tfwindow below is so that same test can be used in S and R
if (max(abs(14142795.699713 - sum(tfwindow(M1gross, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M1gross does not check out.")
if (max(abs(34660366.422202 - sum(tfwindow(M1p, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M1p does not check out.")
if (max(abs(51830587 - sum(tfwindow(M1pp, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M1pp does not check out.")
if (max(abs(88222821.575018 - sum(tfwindow(M2, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M2 does not check out.")
if (max(abs(121535893.35587 - sum(tfwindow(M2p, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M2p does not check out.")
if (max(abs(154718166.35587 - sum(tfwindow(M2pp, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M2pp does not check out.")
if (max(abs(109253304.67148 - sum(tfwindow(M3, start=c(1981, 11), end=c(2002,6)))))
> fuzz) stop("M3 does not check out.")
cat("################ Calculations of cpi and pop\n")
# M1real = M1total * 100/p100000 (CPI - p20 Bank of Canada Weekly Financial
# Statistics, June 1992=100)
# M1PerCapita = M1total * 100 /(pop * p100000) # quarterly pop series converted
# to monthly using spline.
cpi <- 100 * M1total / M1real
seriesNames(cpi) <- "CPI"
popm <- M1total / M1PerCapita
seriesNames(popm) <- "Population of Canada"
cat("################ Plot aggregates\n")
tfplot(tbind(M1total, M1gross, M1p, M1pp))
tfplot(tbind(M1PerCapita, M1real))
tfplot(tbind(M2, M2p, M2pp))
tfplot(M3)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.