Unclass factors in a dataframe    package:epicalc    R Documentation

_U_n_c_l_a_s_s _f_a_c_t_o_r(_s) _i_n _t_h_e _d_e_f_a_u_l_t _d_a_t_a _f_r_a_m_e

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

     This function unclasses factor(s) in the default data frame
     (.data).

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

     unclassDataframe (vars)    

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

    vars: a vector of variables in the data frame, usually factors,
          that will be unclassed

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

     This function 'unclass'es several variables of class factor to
     their corresponding integer values. This is useful in further
     summation of items.

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

     Virasakdi Chongsuvivatwong <cvirasak@medicine.psu.ac.th>

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

     'unclass', 'alpha', 'tableStack'

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

     expect1 <- c(3,4,3,2,5,3,2,5,2,4,4,3,2,4,4, 
        1,3,2,4,4,4,3,4,2,4,5,4,4,3,4)
     expect2 <- c(3,2,4,3,5,3,4,5,4,4,5,5,3,4,4,
        3,4,2,3,5,3,4,4,2,4,5,4,4,3,5)
     found1  <- c(1,3,4,3,4,3,3,2,2,4,5,4,3,4,3,
        1,1,2,3,4,4,1,1,3,4,5,4,1,4,2)
     found2  <- c(1,1,2,1,3,1,1,2,2,4,3,3,1,1,3,
        3,1,1,2,1,1,1,1,1,3,5,4,4,1,1)
     .data <- data.frame(expect1, expect2, found1, found2)
     rm(expect1, expect2, found1, found2) # clean up
     des()
     level.lab <- list("Very poor"=1, "Poor"=2,
        "Fair"=3, "Good"=4, "Very good"=5)
     for (i in 1:4) {
        .data[,i] <- factor(.data[,i])
        levels(.data[,i]) <- level.lab
     }
     des() # All variables are factors
     unclassDataframe(vars=c(1,4))
     des() # Only variables #1 and #4 are 'unclass'ed

