kurtosi                package:psych                R Documentation

_K_u_r_t_o_s_i_s _o_f _a _v_e_c_t_o_r, _m_a_t_r_i_x, _o_r _d_a_t_a _f_r_a_m_e

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

     Find the kurtosis of a vector, matrix, or dataframe.

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

     kurtosi(x, na.rm = TRUE)

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

       x: vector, matrix, or data frame 

   na.rm: na.rm =TRUE removes missing data from the column  

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

     Kurtosis in the E1071 package finds the kurtosis for a single
     vector.  This does it for matrices and dataframes. Used in the
     describe function.

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

 kurtosi: a vector of the kurtosis for each column of the matrix

_N_o_t_e:

     The mean function supplies means for the columns of a data.frame,
     but the overall mean for a matrix.  Mean will throw a warning for
     non-numeric data, but colMeans stops with non-numeric data. Thus,
     the function uses either mean (for data frames) or colMeans (for
     matrices).  This is true for skew and kurtosi as well.

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

     William Revelle

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

     'skew', 'describe'

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

      round(kurtosi(attitude),2)

