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19449940
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2013-10-18T12:40:40.217
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2013-10-18T12:49:22.710
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2013-10-18T12:49:22.710
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<p>Wrapping the body of the loop in <code>try</code> will allow it to continue after an error occurs. Also, you can assign an entire row of <code>results</code> at once like this:</p> <pre><code>for(i in 1:8)try({fit<-lm(as.vector(funds[,i])~TBY,data=factors,na.action=na.omit) results[i,]<-coef(summary(fit))[1,] }) ## Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : ## 0 (non-NA) cases results ## estimates residual t p ## fund1 0.1977773 0.1949221 1.0146478 0.4953715 ## fund2 0.7192174 0.2862573 2.5124861 0.2411462 ## fund3 2.9271787 NaN NaN NaN ## fund4 0.8757588 2.1261925 0.4118906 0.7512633 ## fund5 -0.3371507 0.5472105 -0.6161262 0.6005921 ## fund6 0.2844758 0.3068079 0.9272114 0.4222080 ## fund7 NA NA NA NA ## fund8 -0.2380825 0.2613918 -0.9108262 0.4295420 </code></pre> <p>Incidentally, you avoid the loop entirely with <code>sapply</code> and <code>tryCatch</code>:</p> <pre><code>sapply(funds,function(x) tryCatch(coef(summary(lm(x ~ TBY,data=factors,na.action=na.omit)))[1,], error= function(x)rep(NA,4))) ## fund1 fund2 fund3 fund4 fund5 fund6 fund7 ## Estimate 0.1977773 0.7192174 2.927179 0.8757588 -0.3371507 0.2844758 NA ## Std. Error 0.1949221 0.2862573 NaN 2.1261925 0.5472105 0.3068079 NA ## t value 1.0146478 2.5124861 NaN 0.4118906 -0.6161262 0.9272114 NA ## Pr(>|t|) 0.4953715 0.2411462 NaN 0.7512633 0.6005921 0.4222080 NA ## fund8 ## Estimate -0.2380825 ## Std. Error 0.2613918 ## t value -0.9108262 ## Pr(>|t|) 0.4295420 </code></pre>
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1. COThank you so much!
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