boxplot             package:compositions             R Documentation

_D_i_s_p_l_a_y_i_n_g _c_o_m_p_o_s_i_t_i_o_n_s _a_n_d _a_m_o_u_n_t_s _b_y _b_o_x_p_l_o_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     For the different interpretations of amount data a different type
     of boxplot is feasible. Thus different boxplots are drawn.

_U_s_a_g_e:

     ## S3 method for class 'acomp':
     boxplot(x,fak=NULL,...,
                              xlim=x.lim,ylim=c(minq,maxq),log=TRUE,
                              panel=vp.logboxplot,dots=!boxes,boxes=TRUE)
     ## S3 method for class 'rcomp':
     boxplot(x,fak=NULL,...,
                              xlim=x.lim,ylim=c(0,1),log=FALSE,
                              panel=vp.boxplot,dots=!boxes,boxes=TRUE)
     ## S3 method for class 'aplus':
     boxplot(x,fak=NULL,...,log=TRUE)
     ## S3 method for class 'rplus':
     boxplot(x,fak=NULL,...,ylim=c(0,max(x)),log=FALSE)
     vp.boxplot(x,y,...,dots=FALSE,boxes=TRUE,xlim,ylim,log,notch=FALSE) 
     vp.logboxplot(x,y,...,dots=FALSE,boxes=TRUE,xlim,ylim,log,notch=FALSE) 
               

_A_r_g_u_m_e_n_t_s:

       x: a dataset

     fak: a factor to split the dataset, not yet implemented in aplus
          and rplus

    xlim: x-limits of the plot

    ylim: y-limits of the plot

     log: logical indicating whether ploting should be done on log
          scale

   panel: the panel function to be used or a list of multiple panel
          functions

     ...: further graphical parameters

    dots: a logical indicating whether the points should be drawn

   boxes: a logical indicating the boxes should be drawn

       y: used by pairs

   notch: should the boxes be notched

_D_e_t_a_i_l_s:

     'vp.boxplot' and 'vp.logboxplot' are only used as panel functions.

_S_e_e _A_l_s_o:

     'plot.acomp', 'qqnorm.acomp'

_E_x_a_m_p_l_e_s:

     data(SimulatedAmounts)
     boxplot(acomp(sa.lognormals))
     boxplot(rcomp(sa.lognormals))
     boxplot(aplus(sa.lognormals))
     boxplot(rplus(sa.lognormals))

