[R] lm summary

[Chuck Cleland]

?options

and see the scipen argument.

For example:

ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels=c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)

summary(lm.D9)

options(scipen=20)

summary(lm.D9)

Armelini, Guillermo wrote:
> Dear all,
>  
> Is there anybody who can help me to avoid scientific number in the summary of an lm model? 
> Here there is an example of a usual output of the lm model.
> Thank you!
> Guillermo
>  
> Example
>  
> summary(lm(promiscuity.Index~allK))
> Call:
> lm(formula = promiscuity.Index ~ allK)
> Residuals:
>      Min       1Q   Median       3Q      Max 
> -1.67094 -0.13126  0.06703  0.19913  0.40673 
> Coefficients:
>              Estimate Std. Error t value Pr(>|t|)    
> (Intercept) 5.497e-01  3.619e-03  151.88   <2e-16 ***
> allK        4.279e-05  1.923e-06   22.25   <2e-16 ***
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> Residual standard error: 0.2535 on 5221 degrees of freedom
> Multiple R-Squared: 0.08664,    Adjusted R-squared: 0.08646 
> F-statistic: 495.3 on 1 and 5221 DF,  p-value: < 2.2e-16 
> 
> 
> 
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-- 
Chuck Cleland, Ph.D.
NDRI, Inc.
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