

stats(funfits)                               R Documentation

_C_a_l_c_u_l_a_t_e _s_u_m_m_a_r_y _s_t_a_t_i_s_t_i_c_s

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

     Stats breaks x up into separate data sets and then
     calls describe to calculate the statistics. The default
     set of statistics are the number of (nonmissing) obser-
     vations, mean, standard deviation, minimum, lower quar-
     tile, median, upper quartile, maximum, and number of
     missing observations.  If any data set is nonnumeric,
     missing values are returned for the statistics.  The by
     argument is a useful way to calculate statistics on
     parts of a data set according to different cases.

_U_s_a_g_e_:

     stats(x, by)

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

       x: The data structure to compute the statistics. This
          can either be a vector, matrix (data sets are the
          columns), or a list (data sets are the compo-
          nents).

      by: If x is a vector, an optional vector specifying
          the categories to divide x into separate data
          sets.

_V_a_l_u_e_:

     A matrix where rows index the summary statistics and
     the columns index the separate data sets.

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

     describe

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

     Statistics for a normal random sample of 200 observations:

     rnorm(200) -> zork
     stats(zork) -> look
     look

     Summary statistics for the components of the climate data:

     stats(climate) -> look
     look

     Just list the means of the climate variables (second row of look):

     look[2,]

     Statistics for the actuator thrust by pressure level (there are 10 different
     pressure levels).

     stats(actuator.calibrate$force,by=actuator.calibrate$pressure)

