gretl version 1.3.3 Copyright Ramu Ramanathan and Allin Cottrell This is free software with ABSOLUTELY NO WARRANTY Current session: 2005/04/25 22:35 ? run /home/bkessler/GrigorenkoChapter/prog/out/errorRate.inp ? import /home/bkessler/GrigorenkoChapter/prog/out/transformed.csv parsing /home/bkessler/GrigorenkoChapter/prog/out/transformed.csv... using delimiter ',' longest line: 260 characters number of columns = 43 number of variables: 42 number of non-blank lines: 2327 scanning for variable names... line: ,pronunc,ktmRT,swRT,sbRT,elpRT,ktmErr,swErr,sbErr,elpErr,freq,fam,img,bigrams,nabrSiz,onWLen,hdWLen,vwWLen,rmWLen,cdWLen,onPLen,cdPLen,onWFr,hdWFr,vwWFr,rmWFr,cdWFr,onPFr,hdPFr,vwPFr,rmPFr,cdPFr,onRCn,hdRCn,vwRCn,rmRCn,cdRCn,head,onWCn,hdWCn,vwWCn,rmWCn,cdWCn scanning for row labels and data... variable 1: translating from strings to code numbers variable 37: translating from strings to code numbers String code table written to /home/bkessler/gretl/string_table.txt first row label "ace", last label "zoo" trying to parse row labels as dates... treating these as undated data Full data range: 1 - 2326 (n = 2326) Current sample: 1 - 2326 Listing 43 variables: 0) const 1) pronunc 2) ktmRT 3) swRT 4) sbRT 5) elpRT 6) ktmErr 7) swErr 8) sbErr 9) elpErr 10) freq 11) fam 12) img 13) bigrams 14) nabrSiz 15) onWLen 16) hdWLen 17) vwWLen 18) rmWLen 19) cdWLen 20) onPLen 21) cdPLen 22) onWFr 23) hdWFr 24) vwWFr 25) rmWFr 26) cdWFr 27) onPFr 28) hdPFr 29) vwPFr 30) rmPFr 31) cdPFr 32) onRCn 33) hdRCn 34) vwRCn 35) rmRCn 36) cdRCn 37) head 38) onWCn 39) hdWCn 40) vwWCn 41) rmWCn 42) cdWCn You should now use the "print" command to verify the data If they are OK, use the "store" command to save them in gretl format ? ols ktmErr const freq fam img bigrams nabrSiz onWLen hdWLen \ vwWLen rmWLen cdWLen onPLen cdPLen onWFr hdWFr vwWFr rmWFr cdWFr \ onPFr hdPFr vwPFr rmPFr cdPFr onRCn hdRCn vwRCn rmRCn cdRCn \ onWCn hdWCn vwWCn rmWCn cdWCn Model 1: OLS estimates using the 2326 observations 1-2326 Dependent variable: ktmErr VARIABLE COEFFICIENT STDERROR T STAT 2Prob(t > |T|) 0) const 39.6691 4.34858 9.122 < 0.00001 *** 10) freq -0.643181 0.0812572 -7.915 < 0.00001 *** 11) fam -2.14005 0.349495 -6.123 < 0.00001 *** 12) img -0.288408 0.102709 -2.808 0.005027 *** 13) bigrams -0.00967059 0.0113227 -0.854 0.393144 14) nabrSiz 0.0169860 0.222251 0.076 0.939086 15) onWLen 0.163508 1.47795 0.111 0.911918 16) hdWLen 0.564020 1.37782 0.409 0.682317 17) vwWLen 2.91064 1.57588 1.847 0.064877 * 18) rmWLen -2.74683 0.757227 -3.627 0.000292 *** 19) cdWLen 3.78930 0.757071 5.005 < 0.00001 *** 20) onPLen 0.131089 0.567541 0.231 0.817353 21) cdPLen -0.142223 0.455675 -0.312 0.754981 22) onWFr -0.0436941 0.134047 -0.326 0.744483 23) hdWFr 0.177133 0.194444 0.911 0.362408 24) vwWFr -0.161177 0.0391303 -4.119 0.000039 *** 25) rmWFr -0.301907 0.155190 -1.945 0.051850 * 26) cdWFr -0.0647302 0.0985099 -0.657 0.511186 27) onPFr 0.0658412 0.126086 0.522 0.601586 28) hdPFr -0.140453 0.193632 -0.725 0.468306 29) vwPFr 0.106810 0.0371248 2.877 0.004051 *** 30) rmPFr 0.100014 0.130107 0.769 0.442146 31) cdPFr 0.128628 0.0919503 1.399 0.161981 32) onRCn -5.49227 2.67808 -2.051 0.040398 ** 33) hdRCn -2.17088 1.66972 -1.300 0.193682 34) vwRCn -6.23006 1.48564 -4.194 0.000029 *** 35) rmRCn -8.96013 1.61786 -5.538 < 0.00001 *** 36) cdRCn -2.22445 3.29847 -0.674 0.500133 38) onWCn -2.34425 2.20699 -1.062 0.288262 39) hdWCn -1.99032 1.07864 -1.845 0.065134 * 40) vwWCn 7.00599 1.41264 4.959 < 0.00001 *** 41) rmWCn 0.405530 1.12970 0.359 0.719650 42) cdWCn 2.53645 1.79993 1.409 0.158914 Mean of dependent variable = 3.29925 Standard deviation of dep. var. = 6.81835 Sum of squared residuals = 89185.3 Standard error of residuals = 6.23655 Unadjusted R-squared = 0.174891 Adjusted R-squared = 0.163377 F-statistic (32, 2293) = 15.1884 (p-value < 0.00001) Akaike information criterion (AIC) = 15148.8 Schwarz Bayesian criterion (BIC) = 15338.6 Excluding the constant, p-value was highest for variable 14 (nabrSiz) ? ols swErr const freq fam img bigrams nabrSiz onWLen hdWLen \ vwWLen rmWLen cdWLen onPLen cdPLen onWFr hdWFr vwWFr rmWFr cdWFr \ onPFr hdPFr vwPFr rmPFr cdPFr onRCn hdRCn vwRCn rmRCn cdRCn \ onWCn hdWCn vwWCn rmWCn cdWCn Model 2: OLS estimates using the 2326 observations 1-2326 Dependent variable: swErr VARIABLE COEFFICIENT STDERROR T STAT 2Prob(t > |T|) 0) const 0.260175 0.0436533 5.960 < 0.00001 *** 10) freq -0.00215891 0.000815702 -2.647 0.008184 *** 11) fam -0.00322460 0.00350841 -0.919 0.358137 12) img -0.00111727 0.00103105 -1.084 0.278646 13) bigrams 3.38439E-06 0.000113663 0.030 0.976249 14) nabrSiz 0.000860955 0.00223107 0.386 0.699611 15) onWLen 0.00844646 0.0148365 0.569 0.569206 16) hdWLen -0.00433420 0.0138313 -0.313 0.754035 17) vwWLen 0.00744514 0.0158195 0.471 0.637949 18) rmWLen -0.00439535 0.00760144 -0.578 0.563168 19) cdWLen 0.00893667 0.00759988 1.176 0.239758 20) onPLen -0.00203352 0.00569727 -0.357 0.721178 21) cdPLen 0.00130241 0.00457430 0.285 0.775883 22) onWFr -0.000166967 0.00134563 -0.124 0.901262 23) hdWFr 0.00350055 0.00195193 1.793 0.073045 * 24) vwWFr -0.00142806 0.000392810 -3.635 0.000284 *** 25) rmWFr -0.00401803 0.00155788 -2.579 0.009966 *** 26) cdWFr -0.00249840 0.000988893 -2.526 0.011589 ** 27) onPFr 4.93760E-05 0.00126571 0.039 0.968885 28) hdPFr -0.00207520 0.00194378 -1.068 0.285809 29) vwPFr 0.00176898 0.000372678 4.747 < 0.00001 *** 30) rmPFr 0.00179169 0.00130608 1.372 0.170256 31) cdPFr 0.00317730 0.000923045 3.442 0.000587 *** 32) onRCn -0.0484093 0.0268840 -1.801 0.071886 * 33) hdRCn -0.0215260 0.0167615 -1.284 0.199184 34) vwRCn -0.0316630 0.0149137 -2.123 0.033853 ** 35) rmRCn -0.0514741 0.0162409 -3.169 0.001548 *** 36) cdRCn -0.113359 0.0331118 -3.424 0.000629 *** 38) onWCn -0.00752318 0.0221550 -0.340 0.734211 39) hdWCn -0.0184588 0.0108279 -1.705 0.088378 * 40) vwWCn 0.0340893 0.0141808 2.404 0.016300 ** 41) rmWCn 0.00936175 0.0113405 0.826 0.409166 42) cdWCn 0.0476638 0.0180686 2.638 0.008398 *** Mean of dependent variable = 0.0578074 Standard deviation of dep. var. = 0.0641343 Sum of squared residuals = 8.98737 Standard error of residuals = 0.0626058 Unadjusted R-squared = 0.060215 Adjusted R-squared = 0.0470998 F-statistic (32, 2293) = 4.59124 (p-value < 0.00001) Akaike information criterion (AIC) = -6256.55 Schwarz Bayesian criterion (BIC) = -6066.74 Excluding the constant, p-value was highest for variable 13 (bigrams) ? ols sbErr const freq fam img bigrams nabrSiz onWLen hdWLen \ vwWLen rmWLen cdWLen onPLen cdPLen onWFr hdWFr vwWFr rmWFr cdWFr \ onPFr hdPFr vwPFr rmPFr cdPFr onRCn hdRCn vwRCn rmRCn cdRCn \ onWCn hdWCn vwWCn rmWCn cdWCn Model 3: OLS estimates using the 2326 observations 1-2326 Dependent variable: sbErr VARIABLE COEFFICIENT STDERROR T STAT 2Prob(t > |T|) 0) const 0.306512 0.0297757 10.294 < 0.00001 *** 10) freq -0.00136328 0.000556388 -2.450 0.014350 ** 11) fam -0.00896461 0.00239308 -3.746 0.000184 *** 12) img -0.00106684 0.000703275 -1.517 0.129415 13) bigrams -0.000127665 7.75290E-05 -1.647 0.099762 * 14) nabrSiz -0.000457729 0.00152180 -0.301 0.763609 15) onWLen -0.00389255 0.0101199 -0.385 0.700537 16) hdWLen -0.00437391 0.00943428 -0.464 0.642965 17) vwWLen 0.00498713 0.0107904 0.462 0.643995 18) rmWLen 0.00492478 0.00518492 0.950 0.342300 19) cdWLen -0.000156231 0.00518385 -0.030 0.975960 20) onPLen 0.0143328 0.00388609 3.688 0.000231 *** 21) cdPLen 0.00144466 0.00312012 0.463 0.643397 22) onWFr -0.000159579 0.000917849 -0.174 0.861989 23) hdWFr 0.00239597 0.00133141 1.800 0.072059 * 24) vwWFr -0.00119123 0.000267935 -4.446 < 0.00001 *** 25) rmWFr -0.00113363 0.00106263 -1.067 0.286167 26) cdWFr 0.000342156 0.000674521 0.507 0.612023 27) onPFr 0.000446753 0.000863339 0.517 0.604877 28) hdPFr -0.00470797 0.00132585 -3.551 0.000392 *** 29) vwPFr 0.00160494 0.000254202 6.314 < 0.00001 *** 30) rmPFr 0.000747891 0.000890872 0.840 0.401274 31) cdPFr -8.77192E-06 0.000629606 -0.014 0.988885 32) onRCn -0.0983797 0.0183375 -5.365 < 0.00001 *** 33) hdRCn 0.00631392 0.0114330 0.552 0.580828 34) vwRCn -0.0471265 0.0101726 -4.633 < 0.00001 *** 35) rmRCn -0.0417280 0.0110779 -3.767 0.000170 *** 36) cdRCn -0.0349289 0.0225854 -1.547 0.122116 38) onWCn -0.0341741 0.0151118 -2.261 0.023827 ** 39) hdWCn -0.0141391 0.00738568 -1.914 0.055694 * 40) vwWCn 0.0334185 0.00967270 3.455 0.000560 *** 41) rmWCn 0.00282309 0.00773534 0.365 0.715175 42) cdWCn -0.00671608 0.0123245 -0.545 0.585850 Mean of dependent variable = 0.0383663 Standard deviation of dep. var. = 0.0461209 Sum of squared residuals = 4.18143 Standard error of residuals = 0.0427032 Unadjusted R-squared = 0.154515 Adjusted R-squared = 0.142715 F-statistic (32, 2293) = 13.0954 (p-value < 0.00001) Akaike information criterion (AIC) = -8036.33 Schwarz Bayesian criterion (BIC) = -7846.52 Excluding the constant, p-value was highest for variable 31 (cdPFr) ? ols elpErr const freq fam img bigrams nabrSiz onWLen hdWLen \ vwWLen rmWLen cdWLen onPLen cdPLen onWFr hdWFr vwWFr rmWFr cdWFr \ onPFr hdPFr vwPFr rmPFr cdPFr onRCn hdRCn vwRCn rmRCn cdRCn \ onWCn hdWCn vwWCn rmWCn cdWCn Model 4: OLS estimates using the 2326 observations 1-2326 Dependent variable: elpErr VARIABLE COEFFICIENT STDERROR T STAT 2Prob(t > |T|) 0) const 0.237104 0.0222828 10.641 < 0.00001 *** 10) freq -0.00329383 0.000416374 -7.911 < 0.00001 *** 11) fam -0.0117467 0.00179087 -6.559 < 0.00001 *** 12) img -0.00163045 0.000526298 -3.098 0.001972 *** 13) bigrams 1.92472E-05 5.80191E-05 0.332 0.740116 14) nabrSiz -0.000151769 0.00113885 -0.133 0.893995 15) onWLen 0.00296752 0.00757326 0.392 0.695212 16) hdWLen -0.00240027 0.00706017 -0.340 0.733908 17) vwWLen 0.00767037 0.00807504 0.950 0.342270 18) rmWLen -0.00367001 0.00388015 -0.946 0.344329 19) cdWLen 0.00732485 0.00387935 1.888 0.059130 * 20) onPLen 0.000228865 0.00290817 0.079 0.937280 21) cdPLen -0.00244021 0.00233495 -1.045 0.296097 22) onWFr 7.76111E-05 0.000686875 0.113 0.910047 23) hdWFr 0.00244147 0.000996363 2.450 0.014345 ** 24) vwWFr -0.00117236 0.000200510 -5.847 < 0.00001 *** 25) rmWFr -0.00225654 0.000795220 -2.838 0.004585 *** 26) cdWFr -0.00107963 0.000504780 -2.139 0.032556 ** 27) onPFr -0.000158923 0.000646082 -0.246 0.805720 28) hdPFr -0.00188587 0.000992201 -1.901 0.057467 * 29) vwPFr 0.000764641 0.000190233 4.019 0.000060 *** 30) rmPFr 0.00106371 0.000666686 1.596 0.110735 31) cdPFr 0.00128901 0.000471168 2.736 0.006271 *** 32) onRCn -0.0197497 0.0137229 -1.439 0.150238 33) hdRCn 0.000969024 0.00855591 0.113 0.909836 34) vwRCn -0.0405625 0.00761266 -5.328 < 0.00001 *** 35) rmRCn -0.0523026 0.00829014 -6.309 < 0.00001 *** 36) cdRCn -0.0311124 0.0169019 -1.841 0.065785 * 38) onWCn -0.0161328 0.0113090 -1.427 0.153846 39) hdWCn -0.0149933 0.00552709 -2.713 0.006724 *** 40) vwWCn 0.0387042 0.00723859 5.347 < 0.00001 *** 41) rmWCn 0.00491743 0.00578876 0.849 0.395703 42) cdWCn 0.0197831 0.00922310 2.145 0.032061 ** Mean of dependent variable = 0.0142648 Standard deviation of dep. var. = 0.0350943 Sum of squared residuals = 2.34173 Standard error of residuals = 0.031957 Unadjusted R-squared = 0.182211 Adjusted R-squared = 0.170799 F-statistic (32, 2293) = 15.9657 (p-value < 0.00001) Akaike information criterion (AIC) = -9384.86 Schwarz Bayesian criterion (BIC) = -9195.04 Excluding the constant, p-value was highest for variable 20 (onPLen) Done