axis.POSIXct            package:graphics            R Documentation

_D_a_t_e _a_n_d _D_a_t_e-_t_i_m_e _P_l_o_t_t_i_n_g _F_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Functions to plot objects of classes '"POSIXlt"', '"POSIXct"' and
     '"Date"'  representing calendar dates and times.

_U_s_a_g_e:

     axis.POSIXct(side, x, at, format, ...)

     axis.Date(side, x, at, format, ...)

     ## S3 method for class 'POSIXct':
     plot(x, y, xlab = "", ...)

     ## S3 method for class 'POSIXlt':
     plot(x, y, xlab = "", ...)

     ## S3 method for class 'Date':
     plot(x, y, xlab = "", ...)

_A_r_g_u_m_e_n_t_s:

   x, at: A date-time object.

       y: numeric values to be plotted against 'x'.

    xlab: a character string giving the label for the x axis.

    side: See 'axis'.

  format: See 'strptime'.

     ...: Further arguments to be passed from or to other methods,
          typically graphical parameters or arguments of
          'plot.default'.

_D_e_t_a_i_l_s:

     The functions plot against an x-axis of date-times. 'axis.POSIXct'
     and 'axis.Date' work quite hard to choose suitable time units
     (years, months, days, hours, minutes or seconds) and a sensible
     output format, but this can be overridden by supplying a 'format'
     specification.

     If 'at' is supplied it specifies the locations of the ticks and
     labels whereas if 'x' is specified a suitable grid of labels is
     chosen.

_S_e_e _A_l_s_o:

     DateTimeClasses, Dates for details of the classes.

_E_x_a_m_p_l_e_s:

     attach(beaver1)
     time <- strptime(paste(1990, day, time %/% 100, time %% 100),
                      "%Y %j %H %M")
     plot(time, temp, type="l") # axis at 4-hour intervals.
     # now label every hour on the time axis
     plot(time, temp, type="l", xaxt="n")
     r <- as.POSIXct(round(range(time), "hours"))
     axis.POSIXct(1, at=seq(r[1], r[2], by="hour"), format="%H")
     rm(time)
     detach(beaver1)

     plot(.leap.seconds, 1:22, type="n", yaxt="n",
          xlab="leap seconds", ylab="", bty="n")
     rug(.leap.seconds)
     ## or as dates
     lps <- as.Date(.leap.seconds)
     plot(lps, 1:22, type="n", yaxt="n", xlab="leap seconds", ylab="", bty="n")
     rug(lps)

     ## 100 random dates in a 10-week period
     random.dates <- as.Date("2001/1/1") + 70*sort(runif(100))
     plot(random.dates, 1:100)
     # or for a better axis labelling
     plot(random.dates, 1:100, xaxt="n")
     axis.Date(1, at=seq(as.Date("2001/1/1"), max(random.dates)+6, "weeks"))

