airmay                 package:rrcov                 R Documentation

_A_i_r _Q_u_a_l_i_t_y _D_a_t_a

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

     Air Quality Data Set for May 1973, from Chambers et al. (1983). 
     The whole data set consists of daily readings of air quality 
     values from May 1, 1973 to September 30, 1973,  but here are
     included only the values for May. This data set  is an example of
     the special treatment of the missing values.

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

     data(airmay)

_F_o_r_m_a_t:

     A data frame with 31 observations on the following 4 variables.

     '_X_1' Solar Radiation in Longleys in the frequency  band 4000-7700
          from 0800 to 1200 hours at Central Park

     '_X_2' Average windspeed (in miles per hour) between 7000 and 1000
          hours at La Guardia Airport

     '_X_3' Maximum daily temperature (in degrees Fahrenheit) at La
          Guardia Airport

     '_Y' Mean ozone concentration (in parts per billlion) from 1300 to
          1500 hours at Roosevelt Island

     For convenience, the data sets 'airmay.x', a matrix with the 
     three (independent) variables of the data frame, and 'airmay.y', 
     the numeric vector giving the fourth (dependent) variable, are
     provided as well.

_S_o_u_r_c_e:

     P. J. Rousseeuw and A. M. Leroy (1987)  _Robust Regression and
     Outlier Detection._ Wiley, p.86, table 6.

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

     data(airmay)
     covMcd(airmay.x)
     summary(lm.airmay <- lm(Y ~ ., data=airmay))
     summary(lts.airmay <- ltsReg(Y ~ ., data=airmay))

