Dùng hàm names để xuất ra các values của object

head (d)
##   id fu.days                   status          drug   age    sex ascites
## 1  1     400                    death penicillamine 21464 female       1
## 2  2    4500                 censored penicillamine 20617 female       0
## 3  3    1012                    death penicillamine 25594   male       0
## 4  4    1925                    death penicillamine 19994 female       0
## 5  5    1504 censored due to liver tx       placebo 13918 female       0
## 6  6    2503                    death       placebo 24201 female       0
##   hepatom spiders edema bili chol albumin copper alk.phos   sgot trig
## 1       1       1   1.0 14.5  261    2.60    156   1718.0 137.95  172
## 2       1       1   0.0  1.1  302    4.14     54   7394.8 113.52   88
## 3       0       0   0.5  1.4  176    3.48    210    516.0  96.10   55
## 4       1       1   0.5  1.8  244    2.54     64   6121.8  60.63   92
## 5       1       1   0.0  3.4  279    3.53    143    671.0 113.15   72
## 6       1       0   0.0  0.8  248    3.98     50    944.0  93.00   63
##   platelet protime stage
## 1      190    12.2     4
## 2      221    10.6     3
## 3      151    12.0     4
## 4      183    10.3     4
## 5      136    10.9     3
## 6       NA    11.0     3
d$outcome[d$status=='death']=1
d$outcome[d$status!='death']=0
reg= glm (d$outcome ~ age, family=binomial, data=d)
summary(reg)
## 
## Call:
## glm(formula = d$outcome ~ age, family = binomial, data = d)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.6231  -0.9929  -0.7585   1.2390   1.7978  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -2.951e+00  6.114e-01  -4.828 1.38e-06 ***
## age          1.381e-04  3.221e-05   4.287 1.81e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 420.12  on 311  degrees of freedom
## Residual deviance: 400.30  on 310  degrees of freedom
## AIC: 404.3
## 
## Number of Fisher Scoring iterations: 4
names (reg)
##  [1] "coefficients"      "residuals"         "fitted.values"    
##  [4] "effects"           "R"                 "rank"             
##  [7] "qr"                "family"            "linear.predictors"
## [10] "deviance"          "aic"               "null.deviance"    
## [13] "iter"              "weights"           "prior.weights"    
## [16] "df.residual"       "df.null"           "y"                
## [19] "converged"         "boundary"          "model"            
## [22] "call"              "formula"           "terms"            
## [25] "data"              "offset"            "control"          
## [28] "method"            "contrasts"         "xlevels"
names (summary (reg))
##  [1] "call"           "terms"          "family"         "deviance"      
##  [5] "aic"            "contrasts"      "df.residual"    "null.deviance" 
##  [9] "df.null"        "iter"           "deviance.resid" "coefficients"  
## [13] "aliased"        "dispersion"     "df"             "cov.unscaled"  
## [17] "cov.scaled"