RCaBoChaDF             package:RCaBoCha             R Documentation

_R_C_a_B_o_C_h_a_D_F

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

     creates a document-term matrix out of a column in a dataframe.

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

     RCaBoChaDF( charVec = c("南瓜","基広"), rmT= c("記号"), str2 = "ない", minFreq = 1, weight = "no")

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

 charVec: column of strings.

     rmT: specifies which parts of speech should be extracted. 

    str2: a japanese word

 minFreq: words of a document appearing less than minDocFreq within
          that document will be ignored.

  weight: Calculates a weighted document-term matrix with some options.

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

     column in the specified dataframe are read in and a matrix is
     composed. Every cell of the matrix shows the actual frequency of
     each word.

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

RCaBoChaDF: the document-term matrix 

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

     Motohiro ISHIDA ishida.motohiro@gmail.comt

