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]]

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