Hi, I have a data file which contains multiple data types (char and numeric) alongside with line spaces, tabs and spaces. I hope to extract out the numeric blocks of the data, probably as matrices or dataframes where each line in the data block is a corresponding row in the dataframe/ matrix.
I have tried using many R read functions but they do not seem to yield the appropriate structure that allows the extraction of the numeric blocks correctly (due to the line spaces, tabs and spaces). I gratefully appreciate any advice and suggestion on how to obtain the desired data matrices/ dataframes from this data file in R. Thank you, Siew-Leng *Using R1.7.1. on windows ME, and on Unix. ------------------------------------ My data file contains data in the following block structure : 1) block of a summary (char) 2) line spaces 3) text line 4) Data : stored as : number \t number (spc) number (spc) number (spc) ... and so on. [the number of numeric values stored at this line is not fixed] 5) same structure from 2 - 4 An example of my data (in exact format) is given below : Final results Final value 75.162993 First case value 11 First case value 10 Case indices 3 4 1 5 6 7 8 9 10 11 Estimates : 8.875350 3.894280 7.972684 4.934348 0.012406 0.002134 -0.024216 0.072946 -0.000468 0.042769 -0.126641 Final components : 3 0 2 2 4 0 1 1 5 0 0 0 1 2 6 1 1 1 1 1 1 7 1 1 1 1 1 8 1 1 1 1 9 0 0 0 0 1 1 2 10 2 2 11 0 2 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
