Also, is there a way to add a plot onto each trunk, so it will become 3 parts:
Left: data (xtrunk: 40 rows) Mid: plot of this data Right: lm summary outputs (around 10 rows) Any thoughts? Thanks a lot! On Mon, Apr 2, 2012 at 5:30 PM, Michael <comtech....@gmail.com> wrote: > How to layout the output nicely into webpage? > > Hi all, > > I have data which is about 60000 x 1 divided into trunks and in the > following for loop I am doing data analysis trunk by trunk. > > The goal is to layout the data and analysis summaries side-by-side in a > clear manner. > > I guess the best way to present these is to put them on a HTML webpage > (i.e. output results into HTML format). > > More specifically, I am looking for a nice formatter such that: > > 1. Within each trunk, the left side will be the data in that trunk itself; > the right side will be the analysis summaries(Please see below for an > example): > > 2. Trunk by trunk, the outputs are layed out vertically, i.e. the data > (left) and summary (right) for trunk 2 are placed below those of trunk 1, > etc. > > Here is the skeleton of the code: > > How to do it? > > Thanks a lot! > > ---------------------- > > n=length(x) > > for (i in seq(40, n, by=40)) > { > > xtrunk=x[(i-40+1):i] > t=1:40 > bb=summary(lm(xtrunk~t)) > > #would like to output xtrunk on the left and bb on the right > #and convert results into HTML format; the final results will be a big > HTML file > > > } > > ------------------ > > > summary(lm(xtrunk~t)) > > Call: > lm(formula = xtrunk ~ t) > > Residuals: > Min 1Q Median 3Q Max > -1.9866 -0.8931 0.1681 0.7087 3.0392 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 0.154144 0.344039 0.448 0.657 > t -0.001237 0.014623 -0.085 0.933 > > Residual standard error: 1.068 on 38 degrees of freedom > Multiple R-squared: 0.0001884, Adjusted R-squared: -0.02612 > F-statistic: 0.007159 on 1 and 38 DF, p-value: 0.933 > [[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.