unitest           package:ffmanova           R Documentation(latin1)

_U_n_i_v_a_r_i_a_t_e _F _o_r _t _t_e_s_t_i_n_g

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

     The functions perform F or t testing for several responses based
     on a matrix of hypothesis observations and a matrix of error
     observations.

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

     unitest(modelData, errorData, dfError = dim(errorData)[1])
     unitests(xyObj)

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

modelData: matrix of hypothesis observations 

errorData: matrix of error observations

 dfError: Degrees of freedom for error needs to be specified if
          'errorData' is incomplete

   xyObj: a design-with-responses object created by 'xy_Obj'

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

     'modelData' and 'errorObs' correspond to 'hypObs' and 'errorObs'
     calculated by 'xy_Obj'. These matrices are efficient
     representations of sums of squares and cross-products (see
     'xy_Obj' for details).  This means the univariate F-statistics can
     be calculated straightforwardly from these input matrices.
     Furthermore, in the single-degree-of-freedom case, t-statistics
     with correct sign can be obtained. 

     'unitests' is a wrapper function that calls 'unitest' for each
     term in the 'xyObj' (see 'xy_Obj' for details) and collects the
     results.

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

     'unitest' returns a list with components 

 pValues: p-values

    stat: The test statistics as t-statistics (when single degree of
          freedom) or F-statistics 

    pRaw: Matrix of p-values from 'unitest', one row for each term.

    stat: Matrix of test statistics from 'unitest', one row for each
          term.

_N_o_t_e:

     The function calculates the p-values by making a call to 'pf'.

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

     yvind Langsrud and Bjrn-Helge Mevik

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

     'rotationtest', 'rotationtests'

