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2012-06-28T23:01:23.867
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The source code dissapears if I use strings as R code from high level interface using this code for the third block <pre><code>ro.r.assign('val', val) ro.r.assign('exp', exp) ro.r.assign('tiempo', tiempo) ro.r('anova <- aov(val ~ tiempo + exp)') ro.r('s.anova <- summary(anova)') ro.r('spHoc <- summary(glht(anova, linfct=mcp(tiempo="Dunnet")))') print ro.r('s.anova') print ro.r('spHoc') ro.r('capture.output(s.anova, file = "anova.txt", append = TRUE)') ro.r('capture.output(spHoc, file = "anova.txt", append = TRUE)') </code></pre> Returns the results without the source code <pre><code> Df Sum Sq Mean Sq F value Pr(>F) tiempo 5 91172 18234 8.788 0.000464 *** exp 3 49402 16467 7.936 0.002108 ** Residuals 15 31125 2075 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Simultaneous Tests for General Linear Hypotheses Multiple Comparisons of Means: Dunnett Contrasts Fit: aov(formula = val ~ tiempo + exp) Linear Hypotheses: Estimate Std. Error t value Pr(>|t|) 2 - 0 == 0 78.10 32.21 2.425 0.10306 5 - 0 == 0 152.39 32.21 4.731 0.00110 ** 10 - 0 == 0 140.06 32.21 4.348 0.00246 ** 15 - 0 == 0 158.90 32.21 4.933 < 0.001 *** 30 - 0 == 0 180.73 32.21 5.611 < 0.001 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Adjusted p values reported -- single-step method) </code></pre> I still don't know why rpy2 behaves like this when I use low level interface, but now It works
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