ci                 package:gregmisc                 R Documentation

_C_o_m_p_u_t_e _C_o_n_f_i_d_e_n_c_e _I_n_t_e_r_v_a_l_s

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

     Compute and display confidence intervals for model estimates. 
     Methods for `lm' and `summary.lm' objects are provided.

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

     ci(x, ...)
     ci.lm(x, ...)
     ci.summary.lm(x, confidence = 0.95, alpha = 1 - confidence) 

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

       x: object from which to compute confidence intervals. 

confidence: confidence level. Defaults to 0.95. 

   alpha: Type one error rate.  Defaults to 1.0-`confidence' 

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

     matrix with one row per model parameter and columns  `Estimate',
     `CI lower', `CI upper', `Std. Error', and `p-value'.

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

     Gregory R. Warnes

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

     `\ref{MASS}confint', `lm', `summary.lm'

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

     data(state)
     reg  <-  lm(Area ~ Population, data=as.data.frame(state.x77))
     ci(reg) 

