I believe I have made this posting simple enough to understand.
The sample time-series has only 10 times.
SimpleTS() is the R function to contain the call to do the plot.
SimpleTS <- function() {
titleline <- readLines("SimpleTS.dta", n=1)
print(titleline)
dta <- read.table("SimpleTS.dta", skip = 1, header = TRUE, sep = ",",
colClasses = "character")
print(dta)
dta <- linearizeTime(dta)
print(titleline)
print(dta)
# plotting call goes here
} #end SimpleTS
A printout in linearizeTime(dta) is this:
[1] "`Simple Time Series"
Simpl CnYrMoDaHrMn SBP DBP HRT X
1 Simpl 201005251030 117 53 54
2 Simpl 201005271116 108 65 52
3 Simpl 201005281237 107 59
4 Simpl 201005291329 58
5 Simpl 201005301456 97 56 52
6 Simpl 201006011030
7 Simpl 201006021147 108 65 52
8 Simpl 201006041225 107 59
9 Simpl 201006051344 57 58
10 Simpl 201006061417 97 56 52
The printout at the end of SimpleTS() is this:
[1] "`Simple Time Series"
monoMn SBP DBP HRT
1 1057366710 117 53 54
2 1057369636 108 65 52
3 1057371157 107 NA 59
4 1057372649 NA NA 58
5 1057374176 97 56 52
6 1057376790 NA NA NA
7 1057378307 108 65 52
8 1057381225 107 NA 59
9 1057382744 NA 57 58
10 1057384217 97 56 52
We want a simple 3-tier plot with monoMn on the abscissa
and the three functions SBP DBP HRT plotted as fct of monoMn.
We will want more-beautiful plots later, but can't specify now.
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