How do you want to extract the data? You can use 'readLines' to read in the data and then 'grep' to find the header lines and delete them. On the other hand, do you want to separate each section into a differnet object/list? You can again use readLines and determine where the breaks are and then split the data into different segments to read in.
On Mon, Sep 7, 2009 at 4:00 AM, Santosh<santosh2...@gmail.com> wrote: > Dear R experts.. > > I am trying to read data-sections in a large consolidated dataset, > containing section headers and the data . There are many options available > to implement, I was wondering what optimal function, to extract section > headers and data (w/ columns), could be used on the dataset that looks like > as provided at the end of this email? In each section of a dataset, 1st line > of the section is a table title, followed by names of the columns and rows > of data. > > TABLE NO. 4: MCMC Bayesian Analysis > ITERATION THETA1 THETA2 THETA3 THETA4 > SIGMA(1,1) OMEGA(1,1) OMEGA(2,2) OBJ > -10000 1.63523E+00 1.56116E+00 7.51601E-01 2.35158E+00 > 5.71097E-02 1.66941E-01 1.39843E-01 -2573 > -9999 1.60770E+00 1.48763E+00 7.25607E-01 2.41005E+00 > 4.15829E-02 1.75023E-01 1.14078E-01 -2588 > -9998 1.67015E+00 1.50197E+00 8.04380E-01 2.32958E+00 > 4.60430E-02 1.68910E-01 1.70382E-01 -2548 > -9997 1.60714E+00 1.56161E+00 7.36944E-01 2.37716E+00 > 4.96144E-02 1.35797E-01 1.62153E-01 -2539 > > Thanks > Santosh > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
