data.frame               package:base               R Documentation

_D_a_t_a _F_r_a_m_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     This function creates data frames, tightly coupled collections of
     variables which share many of the properties of matrices and of
     lists, used as the fundamental data structure by most of R's
     modeling software.

_U_s_a_g_e:

     data.frame(..., row.names = NULL, check.rows = FALSE, check.names = TRUE)

_A_r_g_u_m_e_n_t_s:

     ...: these arguments are of either the form 'value' or
          'tag=value'.  Component names are created based on the tag
          (if present) or the deparsed argument itself.

row.names: 'NULL' or an integer or character string specifying a column
          to be used as row names, or a character vector giving the row
          names for the data frame.

check.rows: if 'TRUE' then the rows are checked for consistency of
          length and names.

check.names: logical.  If 'TRUE' then the names of the variables in the
          data frame are checked to ensure that they are syntactically
          valid variable names.  If necessary they are adjusted (by
          'make.names') so that they are.

_D_e_t_a_i_l_s:

     A data frame is a list of variables of the same length with unique
     row names, given class '"data.frame"'.

     'data.frame' converts each of its arguments to a data frame by
     calling 'as.data.frame(optional=TRUE)'.  As that is a generic
     function, methods can be written to change the behaviour of
     arguments according to their classes: R comes with many such
     methods. Character variables passed to 'data.frame' are converted
     to factor columns unless protected by 'I'.  If a list or data
     frame or matrix is passed to 'data.frame' it is as if each
     component or column had been passed as a separate argument.

     Objects passed to 'data.frame' should have the same number of
     rows, but atomic vectors, factors and character vectors protected
     by 'I' will be recycled a whole number of times if necessary.

     If row names are not supplied in the call to 'data.frame', the row
     names are taken from the first component that has suitable names,
     for example a named vector or a matrix with rownames or a data
     frame. (If that component is subsequently recycled, the names are
     discarded with a warning.)  If 'row.names' was supplied as 'NULL'
     or no suitable component was found the row names are the integer
     sequence starting at one.

     If row names are supplied of length one and the data frame has a
     single row, the 'row.names' is taken to specify the row names and
     not a column (by name or number).

_V_a_l_u_e:

     A data frame, a matrix-like structure whose columns may be of
     differing types (numeric, logical, factor and character and so
     on).

_N_o_t_e:

     In versions of R prior to 1.4.0 logical columns were converted to
     factors (as in S3 but not S4).

_R_e_f_e_r_e_n_c_e_s:

     Chambers, J. M. (1992) _Data for models._ Chapter 3 of
     _Statistical Models in S_ eds J. M. Chambers and T. J. Hastie,
     Wadsworth & Brooks/Cole.

_S_e_e _A_l_s_o:

     'I', 'plot.data.frame', 'print.data.frame', 'row.names',
     '[.data.frame' for subsetting methods, 'Math.data.frame' etc,
     about _Group_ methods for 'data.frame's; 'read.table',
     'make.names'.

_E_x_a_m_p_l_e_s:

     L3 <- LETTERS[1:3]
     (d <- data.frame(cbind(x=1, y=1:10), fac=sample(L3, 10, repl=TRUE)))

     ## The same with automatic column names:
     data.frame(cbind(  1,   1:10),     sample(L3, 10, repl=TRUE))

     is.data.frame(d)

     ## do not convert to factor, using I() :
     (dd <- cbind(d, char = I(letters[1:10])))
     rbind(class=sapply(dd, class), mode=sapply(dd, mode))

     stopifnot(1:10 == row.names(d))# {coercion}

     (d0  <- d[, FALSE]) # NULL data frame with 10 rows
     (d.0 <- d[FALSE, ]) # <0 rows> data frame  (3 cols)
     (d00 <- d0[FALSE,])  # NULL data frame with 0 rows

