[BlindRUG] Reading output and easily understanding which number corresponds to what

Sat Oct 14 17:14:16 UTC 2023

summary(out.lm)$coefficients
will supply the table you are looking for.
I found the appropriate name by running
str(summary(out.lm))
Best,
Kelli

On Sat, Oct 14, 2023 at 9:19 AM Miso Kwak via BlindRUG <blindrug at nfbnet.org>
wrote:

> Hello,
>
> I am having a difficulty asking this question succinctly so I am pasting **parts
> of my code** and output below. I imagine this is an easy question for
> expert R users.
>
>
>
> > summary(out.lm)
>
> Call:
>
> lm(formula = mathpre ~ collgpaa, data = scs)
>
> Residuals:
>
>     Min      1Q  Median      3Q     Max
>
> -6.0465 -1.9008 -0.0637  1.8426  6.6097
>
> Coefficients:
>
>             Estimate Std. Error t value Pr(>|t|)
>
> (Intercept)   3.4122     0.7581   4.501 1.13e-05
>
> ***
>
> collgpaa      1.0384     0.2655   3.912 0.000124
>
> ***
>
> ---
>
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05
>
> '.' 0.1 ' ' 1
>
> Residual standard error: 2.646 on 208 degrees of
>
> freedom
>
> Multiple R-squared:  0.06852,   Adjusted R-squared:  0.06405
>
> F-statistic:  15.3 on 1 and 208 DF,  p-value: 0.0001241
>
>
>
> In the part of this output that shows coefficients, I can tell that
> estimate std error is 0.7581 and T-value is 4.501, by memorizing the
> placements of std error, t-value and Pr(>|t|). And knowing what kinds of
> number to expect I guess could work in most cases I may run into.
>
> I believe my sighted colleagues are able to easily place which number
> belongs to what by looking at how they are placed (4.501 directly
> underneath t value for example).
>
> Perhaps as I practice more, I will become more efficient over time but I
> am curious, is there a way I can make the process of reading the output and
> placing which number belongs to where more efficient for? E.g., having this
> be displayed in a list format or table format that I can navigate cell by
> cell vertically?
>
>
>
> Thank you for your consideration and any suggestion you may be able to
> offer.
>
>
>
> Miso
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>
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>

-- 
Kelli Faye Johnson, PhD
Research Fish Biologist
Northwest Fisheries Science Center
National Marine Fisheries Service
2725 Montlake Boulevard East
Seattle, Washington 98112
(564) 225-2287
kelli.johnson at noaa.gov
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