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Copy pathComputer-Language_u64q.txt
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Computer-Language_u64q.txt
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> cl_mod=glm(log(cpu.s.) ~ name+lang, data=cl)
> summary(cl_mod)
Call:
glm(formula = log(cpu.s.) ~ name + lang, data = cl)
Deviance Residuals:
Min 1Q Median 3Q Max
-8.1036 -0.8511 0.4800 1.1471 5.9560
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.299246 0.176825 7.348 2.28e-13 ***
namechameneosredux 0.499162 0.149960 3.329 0.000878 ***
namefannkuchredux 1.407449 0.111391 12.635 < 2e-16 ***
namefasta 0.002456 0.106468 0.023 0.981595
nameknucleotide 1.334063 0.117815 11.323 < 2e-16 ***
namemandelbrot 1.024380 0.105869 9.676 < 2e-16 ***
namemeteor -2.083929 0.150525 -13.844 < 2e-16 ***
namenbody 0.789205 0.107385 7.349 2.25e-13 ***
namepidigits -0.680800 0.121745 -5.592 2.34e-08 ***
nameregexredux 0.312285 0.124990 2.498 0.012498 *
namerevcomp -1.325144 0.108547 -12.208 < 2e-16 ***
namespectralnorm 0.567844 0.109691 5.177 2.33e-07 ***
namethreadring 1.244750 0.148536 8.380 < 2e-16 ***
langclojure 1.209892 0.208456 5.804 6.79e-09 ***
langcsharpcore 0.524843 0.185627 2.827 0.004708 **
langdart 1.039288 0.248837 4.177 3.00e-05 ***
langerlang 1.624063 0.237144 6.848 8.18e-12 ***
langfpascal 0.306824 0.219873 1.395 0.162927
langfsharp 0.976974 0.235544 4.148 3.40e-05 ***
langfsharpcore 0.661517 0.189906 3.483 0.000499 ***
langgcc -0.297268 0.187818 -1.583 0.113531
langghc 0.503310 0.207606 2.424 0.015364 *
langgnat 0.215802 0.208704 1.034 0.301173
langgo 0.217664 0.191829 1.135 0.256556
langgpp -0.258344 0.180767 -1.429 0.153011
langhack 1.167805 0.258906 4.511 6.58e-06 ***
langhipe 1.448175 0.231989 6.242 4.59e-10 ***
langifc -0.043085 0.218035 -0.198 0.843361
langjava 0.566450 0.188990 2.997 0.002735 **
langjruby 2.784858 0.232342 11.986 < 2e-16 ***
langkotlin 0.337376 0.420149 0.803 0.422011
langlua 1.544600 0.268540 5.752 9.25e-09 ***
langmri 2.604685 0.255336 10.201 < 2e-16 ***
langnode 0.627797 0.218055 2.879 0.004002 **
langocaml -0.892398 0.232203 -3.843 0.000123 ***
langperl 1.576135 0.223517 7.052 1.96e-12 ***
langphp 0.466772 0.231999 2.012 0.044267 *
langpython3 1.780178 0.234932 7.577 4.04e-14 ***
langracket 1.000907 0.211157 4.740 2.18e-06 ***
langrust -0.300184 0.199238 -1.507 0.131947
langsbcl 0.425214 0.202167 2.103 0.035481 *
langscala 0.761639 0.227153 3.353 0.000804 ***
langswift 0.232800 0.214864 1.083 0.278638
langtypescript 0.512692 0.238222 2.152 0.031423 *
langvw 1.400417 0.252442 5.547 3.02e-08 ***
langyarv 1.436265 0.217590 6.601 4.43e-11 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for gaussian family taken to be 3.546031)
Null deviance: 29610 on 6283 degrees of freedom
Residual deviance: 22120 on 6238 degrees of freedom
AIC: 25836
Number of Fisher Scoring iterations: 2
> cm_mod=lmer(log(cpu.s.) ~ lang +(1 | name), data=cl)
> summary(cm_mod)
Linear mixed model fit by REML ['lmerMod']
Formula: log(cpu.s.) ~ lang + (1 | name)
Data: cl
REML criterion at convergence: 25879.3
Scaled residuals:
Min 1Q Median 3Q Max
-4.3013 -0.4524 0.2556 0.6107 3.1628
Random effects:
Groups Name Variance Std.Dev.
name (Intercept) 1.109 1.053
Residual 3.546 1.883
Number of obs: 6284, groups: name, 13
Fixed effects:
Estimate Std. Error t value
(Intercept) 1.53621 0.33272 4.617
langclojure 1.21182 0.20845 5.814
langcsharpcore 0.52869 0.18561 2.848
langdart 1.04208 0.24882 4.188
langerlang 1.62668 0.23712 6.860
langfpascal 0.30763 0.21986 1.399
langfsharp 0.98214 0.23553 4.170
langfsharpcore 0.66511 0.18989 3.503
langgcc -0.29460 0.18781 -1.569
langghc 0.50164 0.20760 2.416
langgnat 0.21884 0.20869 1.049
langgo 0.21937 0.19182 1.144
langgpp -0.25761 0.18076 -1.425
langhack 1.17069 0.25889 4.522
langhipe 1.45088 0.23197 6.255
langifc -0.03998 0.21801 -0.183
langjava 0.56822 0.18898 3.007
langjruby 2.78251 0.23234 11.976
langkotlin 0.34190 0.42012 0.814
langlua 1.54035 0.26853 5.736
langmri 2.60130 0.25533 10.188
langnode 0.63062 0.21804 2.892
langocaml -0.88721 0.23219 -3.821
langperl 1.57538 0.22351 7.048
langphp 0.46570 0.23198 2.008
langpython3 1.77667 0.23492 7.563
langracket 1.00224 0.21115 4.747
langrust -0.29823 0.19923 -1.497
langsbcl 0.42923 0.20215 2.123
langscala 0.76394 0.22715 3.363
langswift 0.23641 0.21485 1.100
langtypescript 0.51535 0.23820 2.164
langvw 1.40088 0.25244 5.549
langyarv 1.43484 0.21758 6.594
Correlation matrix not shown by default, as p = 34 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it