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- _d_l_w_b: _L_o_c_a_l _L_i_n_e_a_r _R_e_g_r_e_s_s_i_o_n _w_i_t_h _W_e_i_g_h_t_s
-
- dlwb(x, y, rw, f)
-
- _A_r_g_u_m_e_n_t_s:
-
- x:
- a vector containing the independent variable.
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- y:
- a vector containing the response variable.
-
- rw:
- an optional vector of weights.
-
- f:
- a smoothing parameter specifying the fraction of the
- data to be used.
-
- Value:
-
- structure with the following components:
-
- x:
- the input x vector.
-
- ys:
- the smoothed y vector.
-
- Description:
-
- Uses a modified version of the lowess algorithm.
-
- .Cleveland, W. S. (1979). Robust locally weighted
- regression and smoothing scatterplots. J. Amer. Sta-
- tist. Assoc. 74, 829-836.
-
- _E_x_a_m_p_l_e_s:
-
- see lowess.
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-