You left out some calls to c(). Note that
(2,3,5)
is not valid syntax for making a vector of numbers; use
c(2,3,5)
You also left out a comma and gave different lengths for day and value.
You also left out plus signs between the various components of your ggplot
expression.
Try
data <- data.frame(
day = as.Date(c("2020-02-15", "2020-03-10", "2020-05-04",
"2020-06-21", "2020-08-01", "2020-08-27", "2020-09-28", "2020-11-09",
"2020-12-11", "2020-12-12")),
value = c(15.973, 18.832, 17.392, 14.774, 19.248, 14.913, 15.226,
14.338, 18.777, 19.652))
p <- ggplot(data, aes(x=day, y=value))+
geom_line()+
xlab("X Label")
p
On Sun, Dec 13, 2020 at 5:35 PM Gregory Coats via R-help <
r-help@r-project.org> wrote:
> Hi Jim,
> Thank you VERY much!
> In what I tried, my values for the vertical Y were automatically
> understood by R.
> But it appears that the string yyyy-mm-dd was NOT recognized by R as a
> date for the X axis, and gave a red error message.
> My values for Year-Month-Day were NOT understood by R.
> Is there a convenient way to tell R to interpret “2020-12-13” as a date?
>
> data <- data.frame(
> day = as.Date("2020-02-15", "2020-03-10", "2020-05-04", "2020-06-21",
> "2020-08-01", "2020-08-27", "2020-09-28", "2020-11-09", "2020-12-11")
> value = (15.973, 18.832, 17.392, 14.774, 19.248, 14.913, 15.226, 14.338,
> 18.777, 19.652))
> p <- ggplot(data, aes(x=day, y=value))
> geom_line()
> xlab("X Label")
> p
> Error: unexpected symbol in:
> " day = as.Date("2020-02-15", "2020-03-10", "2020-05-04", "2020-06-21",
> "2020-08-01", "2020-08-27", "2020-09-28", "2020-11-09", "2020-12-11")
> value"
>
> Greg Coats
> gregco...@me.com
> Reston, Virginia USA
>
> > On Dec 13, 2020, at 5:42 PM, Jim Lemon <drjimle...@gmail.com> wrote:
> >
> > Hi Gregory,
> > Here's a start:
> >
> > gcdf<-read.table(text="2020-01-05 15.973
> > 2020-02-15 18.832
> > 2020-03-10 17.392
> > 2020-05-04 14.774
> > 2020-06-21 19.248
> > 2020-08-01 14.913
> > 2020-08-27 15.226
> > 2020-09-28 14.338
> > 2020-11-09 18.777
> > 2020-12-11 19.652",
> > header=TRUE,stringsAsFactors=FALSE,
> > col.names=c("date","gallons"))
> > gcdf$date<-as.Date(gcdf$date,"%Y-%m-%d")
> > plot(gcdf$date,gcdf$gallons,main="Gallons by date",
> > xlab="Date",ylab="Gallons")
> >
> > Jim
> >
> > On Mon, Dec 14, 2020 at 9:33 AM Gregory Coats via R-help
> > <r-help@r-project.org> wrote:
> >>
> >> Starting with year-month-day, for the variable gallons, I can easily
> plot the variable gallons, while disregarding the date.
> >> gallons <- c (15.973, 18.832, 17.392, 14.774, 19.248, 14.913, 15.226,
> 14.338, 18.777, 19.652)
> >> plot (gallons, type="l", xlab="X label", ylab="Y label", col="blue”)
> >>
> >> How do I direct R to plot the variable gallons, at the appropriate,
> irregularly-spaced places on the X axis, while paying attention to the
> year-month-day?
> >>
> >> format = "%Y-%m-%d”
> >> 2020-01-05 15.973
> >> 2020-02-15 18.832
> >> 2020-03-10 17.392
> >> 2020-05-04 14.774
> >> 2020-06-21 19.248
> >> 2020-08-01 14.913
> >> 2020-08-27 15.226
> >> 2020-09-28 14.338
> >> 2020-11-09 18.777
> >> 2020-12-11 19.652
> >> [[alternative HTML version deleted]]
> >> ______________________________________________
> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
