acp                   package:amap                   R Documentation

_P_r_i_n_c_i_p_a_l _c_o_m_p_o_n_e_n_t _a_n_a_l_y_s_i_s

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

     Principal component analysis / Analyse en composantes principales

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

     acp(x,center=TRUE,reduce=TRUE)
     pca(x,center=TRUE,reduce=TRUE)
     print.acp(x, ...) 

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

       x: Matrix  / data frame

  center: a logical value indicating whether we center data

  reduce: a logical value indicating whether we "reduce" data i.e. 
          divide each column by standard deviation

     ...: arguments to be passed to or from other methods.

_V_a_l_u_e:

     An object of class *acp*  The object is a list with components:

    sdev: the standard deviations of the principal components.

loadings: the matrix of variable loadings (i.e., a matrix whose columns
          contain the eigenvectors).  This is of class '"loadings"':
          see 'loadings' for its 'print' method.

  scores: if 'scores = TRUE', the scores of the supplied data on the
          principal components.

     eig: Eigen values

_A_u_t_h_o_r(_s):

     Antoine Lucas, <URL:
     http://mulcyber.toulouse.inra.fr/projects/amap/>

_R_e_f_e_r_e_n_c_e_s:

     A. Carlier Analyse des donnes Multidimensionnelles <URL:
     http://www.lsp.ups-tlse.fr/Carlier/enseignement.html>

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

     plot.acp,acpgen, princomp

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

     data(lubisch)
     lubisch <- lubisch[,-c(1,8)]
     p <- acp(lubisch)
     plot(p)

