[R] Trying to make Nas 0

[Dumblauskas, Jerry]

I have an lm object called mro

A summary gives
> summary(mro)

Call:
lm(formula = REGRESSIONSTRING, data = wData)

Residuals:
     Min       1Q   Median       3Q      Max 
-8.18077 -1.06867 -0.09387  1.03153 11.20201 

Coefficients: (1 not defined because of singularities)
                 Estimate Std. Error t value Pr(>|t|)    
(Intercept)        7.2096     1.0345   6.969 5.37e-11 ***
log(H2403_P1)     -0.3113     0.1305  -2.386   0.0180 *  
I(LEVDSCRT/100)    3.4425     0.7818   4.403 1.79e-05 ***
REG_UTIL_FLAG_P1       NA         NA      NA       NA    
REALESTATE_ROI     0.2413     0.6211   0.389   0.6980    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.116 on 186 degrees of freedom
Multiple R-squared: 0.1455,     Adjusted R-squared: 0.1317 
F-statistic: 10.56 on 3 and 186 DF,  p-value: 1.917e-06 

Now, I know my REG_UTIL_FLAG_P1 var is NA because it is missing/constant
in the data frame.

What I am trying to do is this

tring(summary(mro)$coef[,3])
[1] "6.96900610837729, -2.38577388980627, 4.403441093625,
0.388556365853674"
> 

I'd really like the NA to not be omitted, but cast to 0 (I am going to
load this into a DB)

So I'd like to see
[1] "6.96900610837729, -2.38577388980627, 4.403441093625, 0,
0.388556365853674"


I was able to do that with the coefficients via

mro$coef[is.na(mro$coef)]<-0
mro$coef

I can do this in a brute force way by by getting a vector of aliased
columns and iterating thru it -- but was hoping for a more elegant
solution.

Thx!


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