computeTestRegression      package:rotRPackage      R Documentation

_C_o_m_p_u_t_e _t_h_e _R_e_g_r_e_s_s_i_o_n _T_e_s_t _o_n _2 _d_a_t_a _s_e_t_s.

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

     This ROT function, called from a Test C++ object, is given 2
     samples, and optionnaly a test level. It then computes the result
     of a regression test against the null hypothesis that the linear
     regression coefficients are significant. It returns the test
     result for each X variable, the statistics and the p-values.

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

     computeTestRegression(outSample, inSample, testLevel = 0.95)

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

outSample: The 'out' sample (n vector).

inSample: The 'in' sample. (m-by-n matrix)

testLevel: the test level. (scalar in [0:1])

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

     A list is returned, containing : 

testResult: The result. 1 means H0 is not rejected. (scalar)

threshold: The threshold applied to the p-value when deciding the
          outcome of the test.

 pvalues: The test pvalues. (vector)

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

     Pierre-Matthieu Pair, Softia for EDF.

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

     outSample=iris[1:50,1]
     inSample=as.matrix(iris[1:50,2:4])
     computeTestRegression(outSample, inSample)

