hist                package:graphics                R Documentation

_H_i_s_t_o_g_r_a_m_s

_D_e_s_c_r_i_p_t_i_o_n:

     The generic function 'hist' computes a histogram of the given data
     values.  If 'plot=TRUE', the resulting object of 'class
     "histogram"' is plotted by 'plot.histogram', before it is
     returned.

_U_s_a_g_e:

     hist(x, ...)

     ## Default S3 method:
     hist(x, breaks = "Sturges", freq = NULL, probability = !freq,
          include.lowest = TRUE, right = TRUE,
          density = NULL, angle = 45, col = NULL, border = NULL,
          main = paste("Histogram of" , xname),
          xlim = range(breaks), ylim = NULL,
          xlab = xname, ylab,
          axes = TRUE, plot = TRUE, labels = FALSE,
          nclass = NULL, ...)

_A_r_g_u_m_e_n_t_s:

       x: a vector of values for which the histogram is desired.

  breaks: one of:

             *  a vector giving the breakpoints between histogram
                cells,

             *  a single number giving the number of cells for the
                histogram,

             *  a character string naming an algorithm to compute the
                number of cells (see Details),

             *  a function to compute the number of cells.

          In the last three cases the number is a suggestion only. 

    freq: logical; if 'TRUE', the histogram graphic is a representation
          of frequencies, the 'counts' component of the result; if
          'FALSE', probability densities, component 'density', are
          plotted (so that the histogram has a total area of one). 
          Defaults to 'TRUE' _iff_ 'breaks' are equidistant (and
          'probability' is not specified).

probability: an _alias_ for '!freq', for S compatibility.

include.lowest: logical; if 'TRUE', an 'x[i]' equal to the 'breaks'
          value will be included in the first (or last, for 'right =
          FALSE') bar.  This will be ignored (with a warning) unless
          'breaks' is a vector.

   right: logical; if 'TRUE', the histograms cells are right-closed
          (left open) intervals.

 density: the density of shading lines, in lines per inch. The default
          value of 'NULL' means that no shading lines are drawn.
          Non-positive values of 'density' also inhibit the drawing of
          shading lines.

   angle: the slope of shading lines, given as an angle in degrees
          (counter-clockwise).

     col: a colour to be used to fill the bars. The default of 'NULL'
          yields unfilled bars.

  border: the color of the border around the bars.  The default is to
          use the standard foreground color.

main, xlab, ylab: these arguments to 'title' have useful defaults here.

xlim, ylim: the range of x and y values with sensible defaults. Note
          that 'xlim' is _not_ used to define the histogram (breaks),
          but only for plotting (when 'plot = TRUE').

    axes: logical.  If 'TRUE' (default), axes are draw if the plot is
          drawn.

    plot: logical.  If 'TRUE' (default), a histogram is plotted,
          otherwise a list of breaks and counts is returned.

  labels: logical or character.  Additionally draw labels on top of
          bars, if not 'FALSE'; see 'plot.histogram'.

  nclass: numeric (integer).  For S(-PLUS) compatibility only, 'nclass'
          is equivalent to 'breaks' for a scalar or character argument.

     ...: further graphical parameters passed to 'plot.histogram' and
          their to 'title' and 'axis' (if 'plot=TRUE').

_D_e_t_a_i_l_s:

     The definition of "histogram" differs by source (with
     country-specific biases).  R's default with equi-spaced breaks
     (also the default) is to plot the counts in the cells defined by
     'breaks'.  Thus the height of a rectangle is proportional to the
     number of points falling into the cell, as is the area _provided_
     the breaks are equally-spaced.

     The default with non-equi-spaced breaks is to give a plot of area
     one, in which the _area_ of the rectangles is the fraction of the
     data points falling in the cells.

     If 'right = TRUE' (default), the histogram cells are intervals of
     the form '(a, b]', i.e., they include their right-hand endpoint,
     but not their left one, with the exception of the first cell when
     'include.lowest' is 'TRUE'.

     For 'right = FALSE', the intervals are of the form '[a, b)', and
     'include.lowest' really has the meaning of "_include highest_".

     A numerical tolerance of 1e-7 times the median bin size is applied
     when counting entries on the edges of bins.

     The default for 'breaks' is '"Sturges"': see 'nclass.Sturges'. 
     Other names for which algorithms are supplied are '"Scott"' and
     '"FD"' / '"Friedman-Diaconis"' (with corresponding functions
     'nclass.scott' and 'nclass.FD'). Case is ignored and partial
     matching is used. Alternatively, a function can be supplied which
     will compute the intended number of breaks as a function of 'x'.

_V_a_l_u_e:

     an object of class '"histogram"' which is a list with components: 

  breaks: the n+1 cell boundaries (= 'breaks' if that was a vector).

  counts: n integers; for each cell, the number of 'x[]' inside.

 density: values f^(x[i]), as estimated density values. If
          'all(diff(breaks) == 1)', they are the relative frequencies
          'counts/n' and in general satisfy sum[i; f^(x[i])
          (b[i+1]-b[i])] = 1, where b[i] = 'breaks[i]'.

intensities: same as 'density'. Deprecated, but retained for
          compatibility.

    mids: the n cell midpoints.

   xname: a character string with the actual 'x' argument name.

equidist: logical, indicating if the distances between 'breaks' are all
          the same.

_N_o_t_e:

     The resulting value does _not_ depend on the values of the
     arguments 'freq' (or 'probability') or 'plot'.  This is
     intentionally different from S.

     Prior to R 1.7.0, the element 'breaks' of the result was adjusted
     for numerical tolerances.  The nominal values are now returned
     even though tolerances are still used when counting.

_R_e_f_e_r_e_n_c_e_s:

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole.

     Venables, W. N. and Ripley. B. D. (2002) _Modern Applied
     Statistics with S_.  Springer.

_S_e_e _A_l_s_o:

     'nclass.Sturges', 'stem', 'density',  'truehist' in package
     'MASS'.

     Typical plots with vertical bars are _not_ histograms.  Consider
     'barplot' or 'plot(*, type = "h")' for such bar plots.

_E_x_a_m_p_l_e_s:

     op <- par(mfrow=c(2, 2))
     hist(islands)
     utils::str(hist(islands, col="gray", labels = TRUE))

     hist(sqrt(islands), br = 12, col="lightblue", border="pink")
     ##-- For non-equidistant breaks, counts should NOT be graphed unscaled:
     r <- hist(sqrt(islands), br = c(4*0:5, 10*3:5, 70, 100, 140), col='blue1')
     text(r$mids, r$density, r$counts, adj=c(.5, -.5), col='blue3')
     sapply(r[2:3], sum)
     sum(r$density * diff(r$breaks)) # == 1
     lines(r, lty = 3, border = "purple") # -> lines.histogram(*)
     par(op)

     utils::str(hist(islands, br=12, plot= FALSE)) #-> 10 (~= 12) breaks
     utils::str(hist(islands, br=c(12,20,36,80,200,1000,17000), plot = FALSE))

     hist(islands, br=c(12,20,36,80,200,1000,17000), freq = TRUE,
          main = "WRONG histogram") # and warning

     set.seed(14)
     x <- rchisq(100, df = 4)

     ## Comparing data with a model distribution should be done with qqplot()!
     qqplot(x, qchisq(ppoints(x), df = 4)); abline(0,1, col = 2, lty = 2)

     ## if you really insist on using hist() ... :
     hist(x, freq = FALSE, ylim = c(0, 0.2))
     curve(dchisq(x, df = 4), col = 2, lty = 2, lwd = 2, add = TRUE)

