<div dir="ltr">summary(out.lm)$coefficients<div>will supply the table you are looking for.</div><div>I found the appropriate name by running</div><div>str(summary(out.lm))</div><div>Best,</div><div>Kelli</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sat, Oct 14, 2023 at 9:19 AM Miso Kwak via BlindRUG <<a href="mailto:blindrug@nfbnet.org">blindrug@nfbnet.org</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div class="msg8877912239229126839"><div lang="EN-US" style="overflow-wrap: break-word;"><div class="m_8877912239229126839WordSection1"><p class="MsoNormal">Hello,<u></u><u></u></p><p class="MsoNormal">I am having a difficulty asking this question succinctly so I am pasting *<b>parts of my code</b>* and output below. I imagine this is an easy question for expert R users.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">> summary(out.lm)<u></u><u></u></p><p class="MsoNormal">Call:<u></u><u></u></p><p class="MsoNormal">lm(formula = mathpre ~ collgpaa, data = scs) <u></u><u></u></p><p class="MsoNormal">Residuals:<u></u><u></u></p><p class="MsoNormal"> Min 1Q Median 3Q Max<u></u><u></u></p><p class="MsoNormal">-6.0465 -1.9008 -0.0637 1.8426 6.6097 <u></u><u></u></p><p class="MsoNormal">Coefficients:<u></u><u></u></p><p class="MsoNormal"> Estimate Std. Error t value Pr(>|t|) <u></u><u></u></p><p class="MsoNormal">(Intercept) 3.4122 0.7581 4.501 1.13e-05 <u></u><u></u></p><p class="MsoNormal">***<u></u><u></u></p><p class="MsoNormal">collgpaa 1.0384 0.2655 3.912 0.000124 <u></u><u></u></p><p class="MsoNormal">***<u></u><u></u></p><p class="MsoNormal">---<u></u><u></u></p><p class="MsoNormal">Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 <u></u><u></u></p><p class="MsoNormal">'.' 0.1 ' ' 1<u></u><u></u></p><p class="MsoNormal">Residual standard error: 2.646 on 208 degrees of <u></u><u></u></p><p class="MsoNormal">freedom<u></u><u></u></p><p class="MsoNormal">Multiple R-squared: 0.06852, Adjusted R-squared: 0.06405<u></u><u></u></p><p class="MsoNormal">F-statistic: 15.3 on 1 and 208 DF, p-value: 0.0001241<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">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.<u></u><u></u></p><p class="MsoNormal">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). <u></u><u></u></p><p class="MsoNormal">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?<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Thank you for your consideration and any suggestion you may be able to offer.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Miso<u></u><u></u></p></div></div>_______________________________________________<br>
BlindRUG mailing list<br>
<a href="mailto:BlindRUG@nfbnet.org" target="_blank">BlindRUG@nfbnet.org</a><br>
<a href="http://nfbnet.org/mailman/listinfo/blindrug_nfbnet.org" rel="noreferrer" target="_blank">http://nfbnet.org/mailman/listinfo/blindrug_nfbnet.org</a><br>
To unsubscribe, change your list options or get your account info for BlindRUG:<br>
<a href="http://nfbnet.org/mailman/options/blindrug_nfbnet.org/kelli.johnson%40noaa.gov" rel="noreferrer" target="_blank">http://nfbnet.org/mailman/options/blindrug_nfbnet.org/kelli.johnson%40noaa.gov</a><br>
The list archive can be viewed at:<br>
<a href="http://www.nfbnet.org/pipermail/blindrug_nfbnet.org" rel="noreferrer" target="_blank">http://www.nfbnet.org/pipermail/blindrug_nfbnet.org</a><br>
More information and useful links about using R as a blind person can be obtained at:<br>
<a href="http://R-Resources.massey.ac.nz" rel="noreferrer" target="_blank">http://R-Resources.massey.ac.nz</a><br>
<br>
Look for help using R commands by reading the accessible e-book "Let's Use R Now" compiled by Jonathan Godfrey at:<br>
<a href="http://R-Resources.massey.ac.nz/lurn/front.html" rel="noreferrer" target="_blank">http://R-Resources.massey.ac.nz/lurn/front.html</a><br>
</div></blockquote></div><br clear="all"><div><br></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>Kelli Faye Johnson, PhD</div><div>Research Fish Biologist</div><div>Northwest Fisheries Science Center</div><div>National Marine Fisheries Service</div><div>2725 Montlake Boulevard East</div><div>Seattle, Washington 98112</div><div>(564) 225-2287<br></div><div><a href="mailto:kelli.johnson@noaa.gov" target="_blank">kelli.johnson@noaa.gov</a></div></div></div></div></div></div></div></div></div>