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-
- _W_e_i_g_h_t_e_d _A_r_i_t_h_m_e_t_i_c _M_e_a_n
-
- weighted.mean(x, w, na.rm=FALSE)
-
- _A_r_g_u_m_e_n_t_s:
-
- x : a numeric vector containing the values whose
- mean is to be computed.
-
- w : a vector of weights the same length as x giv-
- ing the weights to use for each element of x.
-
- na.rm : a logical value indicating whether NA values
- in x should be stripped before the computa-
- tion proceeds.
-
- _D_e_s_c_r_i_p_t_i_o_n:
-
- If w is missing then all elements of x are given the
- same weight.
-
- Missing values in w are not handled.
-
- _S_e_e _A_l_s_o:
-
- mean
-
- _E_x_a_m_p_l_e_s:
-
- #GPA from Siegel 1994
- wt<- c(5/15,5/15,4/15,1/15)
- x <- c(3.7,3.3,3.5,2.8)
- xm <- weighted.mean(x,wt)
-
-