Plots
Santiago Torres
6 de mayo de 2018
\[\lambda(t,x)=lim_{dt0}\frac{Pr(t<T<t+dt|T>t,x)}{dt}=\frac{g(t,x)}{1-G(t,x)}\] -\[lnT_s=min(x_s,+u_1,ln\tau_s)\] -\[S=Y\]
## Loading required package: rJava## Loading required package: xlsxjars
##
## Call:
## lm(formula = x$lnTs ~ x$edad_st + x$v_mujer * x$v_hijos + x$padre_instituto +
## x$padre_universidad + x$madre_instituto + x$madre_universidad +
## x$instituto + x$universidad, data = x)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.26464 -1.00884 -0.05874 0.93290 3.01621
##
## Coefficients: (1 not defined because of singularities)
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.918250 1.666030 -0.551 0.58178
## x$edad_st -0.007016 0.003899 -1.799 0.07258 .
## x$v_mujer1 0.774613 1.375107 0.563 0.57349
## x$v_mujerHombre 4.560001 1.666242 2.737 0.00644 **
## x$v_mujerMujer 4.530070 1.665231 2.720 0.00676 **
## x$v_hijos 0.443958 0.387449 1.146 0.25243
## x$padre_instituto 0.070685 0.077514 0.912 0.36228
## x$padre_universidad 0.231208 0.216186 1.069 0.28539
## x$madre_instituto -0.001865 0.002927 -0.637 0.52439
## x$madre_universidad 0.097888 0.348390 0.281 0.77885
## x$instituto 0.186817 0.169955 1.099 0.27223
## x$universidad 0.009561 0.160392 0.060 0.95249
## x$v_mujer1:x$v_hijos NA NA NA NA
## x$v_mujerHombre:x$v_hijos -0.371605 0.393485 -0.944 0.34544
## x$v_mujerMujer:x$v_hijos -0.346604 0.394491 -0.879 0.38005
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.246 on 478 degrees of freedom
## Multiple R-squared: 0.3701, Adjusted R-squared: 0.3529
## F-statistic: 21.6 on 13 and 478 DF, p-value: < 2.2e-16## Version: 1.36.23
## Date: 2017-03-03
## Author: Philip Leifeld (University of Glasgow)
##
## Please cite the JSS article in your publications -- see citation("texreg").##
## ====================================
## Model 1
## ------------------------------------
## (Intercept) -0.92
## (1.67)
## x$edad_st -0.01
## (0.00)
## x$v_mujer1 0.77
## (1.38)
## x$v_mujerHombre 4.56 **
## (1.67)
## x$v_mujerMujer 4.53 **
## (1.67)
## x$v_hijos 0.44
## (0.39)
## x$padre_instituto 0.07
## (0.08)
## x$padre_universidad 0.23
## (0.22)
## x$madre_instituto -0.00
## (0.00)
## x$madre_universidad 0.10
## (0.35)
## x$instituto 0.19
## (0.17)
## x$universidad 0.01
## (0.16)
## x$v_mujerHombre:x$v_hijos -0.37
## (0.39)
## x$v_mujerMujer:x$v_hijos -0.35
## (0.39)
## ------------------------------------
## R^2 0.37
## Adj. R^2 0.35
## Num. obs. 492
## RMSE 1.25
## ====================================
## *** p < 0.001, ** p < 0.01, * p < 0.05## Call:
## coxph(formula = Surv(x$w_inicio_st, x$w_fin_st, x$fail) ~ x$edad_st +
## x$padre_instituto + x$padre_universidad + x$madre_instituto +
## x$madre_universidad + x$instituto + x$universidad, data = x)
##
## n= 492, number of events= 479
##
## coef exp(coef) se(coef) z Pr(>|z|)
## x$edad_st 0.010957 1.011018 0.003811 2.875 0.00403 **
## x$padre_instituto -0.081898 0.921366 0.229696 -0.357 0.72143
## x$padre_universidad -0.343643 0.709182 0.173512 -1.981 0.04765 *
## x$madre_instituto 0.004065 1.004073 0.002811 1.446 0.14819
## x$madre_universidad -0.424628 0.654013 0.283276 -1.499 0.13388
## x$instituto -0.445242 0.640669 0.145553 -3.059 0.00222 **
## x$universidad -0.137782 0.871289 0.131940 -1.044 0.29636
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## exp(coef) exp(-coef) lower .95 upper .95
## x$edad_st 1.0110 0.9891 1.0035 1.0186
## x$padre_instituto 0.9214 1.0853 0.5874 1.4453
## x$padre_universidad 0.7092 1.4101 0.5047 0.9964
## x$madre_instituto 1.0041 0.9959 0.9986 1.0096
## x$madre_universidad 0.6540 1.5290 0.3754 1.1395
## x$instituto 0.6407 1.5609 0.4817 0.8522
## x$universidad 0.8713 1.1477 0.6728 1.1284
##
## Concordance= 0.613 (se = 0.017 )
## Rsquare= 0.055 (max possible= 0.998 )
## Likelihood ratio test= 27.7 on 7 df, p=0.0002491
## Wald test = 24.43 on 7 df, p=0.000956
## Score (logrank) test = 26.37 on 7 df, p=0.0004328
