plot.aplus           package:compositions           R Documentation

_D_i_s_p_l_a_y_i_n_g _a_m_o_u_n_t_s _i_n _s_c_a_t_t_e_r_p_l_o_t_s

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

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

     ## S3 method for class 'aplus':
     plot(x,...,labels=colnames(X),cn=colnames(X),aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),add=FALSE,logscale=TRUE)
     ## S3 method for class 'rplus':
     plot(x,...,labels=colnames(X),cn=colnames(X),aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),add=FALSE,logscale=FALSE,xlim=apply(X,2,function(x) c(0,max(x))),ylim=xlim)
     ## S3 method for class 'rmult':
     plot(x,...,labels=colnames(X),cn=colnames(X),aspanel=FALSE,id=FALSE,idlabs=NULL,idcol=2,center=FALSE,scale=FALSE,pca=FALSE,col.pca=par("col"),add=FALSE,logscale=FALSE)
               

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

       x: a dataset of an amount class

     ...: further graphical parameters passed (see 'par')

     add: a logical indicating whether the information should just be
          added to an existing plot. In case of false a new plot is
          created.

     col: The color to plot the data.

  labels: The names of the parts

      cn: The names of the parts to be used in a single panel. Internal
          use only.

 aspanel: Logical indicating that only a single panel should be drawn
          and not the whole plot. Internal use only.

      id: A logical. If true one can identify the points like with the
          'identify' command. 

  idlabs: A character vector providing the labels to be used with the
          identification, when 'id=TRUE'

   idcol: color of the idlabs-labels

  center: a logical indicating whether a the data should be centered
          prior to the plot. Centering is done in the choosen
          philosophy. See 'scale'

   scale: a logical indicating whether a the data should be scaled
          prior to the plot. Scaling is done in the choosen philosophy.
          See 'scale'

     pca: A logical indicating whether the first principle component
          should be displayed in the plot. Currently direction of the
          principle component of the displayed subcomposition is
          displayed as a line. Later on a the principle componenent of
          the whole dataset should be displayed.

 col.pca: The color to draw the principle component.

logscale: logical indication, whether logscale should be used

    xlim: 2xncol(x)-matrix giving the xlims for the columns of x

    ylim: 2xncol(x)-matrix giving the ylims for the columns of x

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

     TO DO: fix pca bug

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

     'plot.aplus', 'qqnorm.acomp','boxplot.acomp'

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

     data(SimulatedAmounts)
     plot(aplus(sa.lognormals))
     plot(rplus(sa.lognormals))
     plot(aplus(sa.lognormals5))
     plot(rplus(sa.lognormals5))

