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R_str
をテンプレートにして作成
開始行:
[[Rの備忘録]]
*str()関数でオブジェクトの構造を見る． [#s1e5a0da]
例えば lm オブジェクトであれば，まずオブジェクトの構造を...
>str(summary(alice.g.lm))
List of 11
$ call : language lm(formula = log(alice.g$Types)
~ log(alice.g$Tok...
$ terms :Classes 'terms', 'formula' length 3
log(alice.g$Types) ~ log(alice.g$Tokens)
.. ..- attr(*, "variables")= language
list(log(alice.g$Types), log(alice.g$Tokens))
.. ..- attr(*, "factors")= int [1:2, 1] 0 1
.. .. ..- attr(*, "dimnames")=List of 2
.. .. .. ..$ : chr [1:2] "log(alice.g$Types)"
"log(alice.g$Tokens)"
.. .. .. ..$ : chr "log(alice.g$Tokens)"
.. ..- attr(*, "term.labels")= chr
"log(alice.g$Tokens)"
.. ..- attr(*, "order")= int 1
.. ..- attr(*, "intercept")= int 1
.. ..- attr(*, "response")= int 1
.. ..- attr(*, ".Environment")=<R_GlobalEnv>
.. ..- attr(*, "predvars")= language
list(log(alice.g$Types), log(alice.g$Tokens))
.. ..- attr(*, "dataClasses")= Named chr [1:2]
"numeric" "numeric"
.. .. ..- attr(*, "names")= chr [1:2]
"log(alice.g$Types)" "log(alice.g$Tokens)"
$ residuals : Named num [1:40] -0.09344 -0.01558
0.01508 0.00604 -0.00784 ...
..- attr(*, "names")= chr [1:40] "1" "2" "3" "4" ...
$ coefficients : num [1:2, 1:4] 1.81553 0.59876
0.04097 0.00442 44.31240 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:2] "(Intercept)" "log(alice.g$Tokens)"
.. ..$ : chr [1:4] "Estimate" "Std. Error" "t value"
"Pr(>|t|)"
$ aliased : Named logi [1:2] FALSE FALSE
..- attr(*, "names")= chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
$ sigma : num 0.0241
$ df : int [1:3] 2 38 2
$ r.squared : num 0.998
$ adj.r.squared: num 0.998
$ fstatistic : Named num [1:3] 18362 1 38
..- attr(*, "names")= chr [1:3] "value" "numdf"
"dendf"
$ cov.unscaled : num [1:2, 1:2] 2.8898 -0.3103
-0.3103 0.0336
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
.. ..$ : chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
- attr(*, "class")= chr "summary.lm"
<
の出力から調整済み &mathml(R^2); を取り出すには
summary(alice.g.lm)$adj.r.squared
とすればよい．
終了行:
[[Rの備忘録]]
*str()関数でオブジェクトの構造を見る． [#s1e5a0da]
例えば lm オブジェクトであれば，まずオブジェクトの構造を...
>str(summary(alice.g.lm))
List of 11
$ call : language lm(formula = log(alice.g$Types)
~ log(alice.g$Tok...
$ terms :Classes 'terms', 'formula' length 3
log(alice.g$Types) ~ log(alice.g$Tokens)
.. ..- attr(*, "variables")= language
list(log(alice.g$Types), log(alice.g$Tokens))
.. ..- attr(*, "factors")= int [1:2, 1] 0 1
.. .. ..- attr(*, "dimnames")=List of 2
.. .. .. ..$ : chr [1:2] "log(alice.g$Types)"
"log(alice.g$Tokens)"
.. .. .. ..$ : chr "log(alice.g$Tokens)"
.. ..- attr(*, "term.labels")= chr
"log(alice.g$Tokens)"
.. ..- attr(*, "order")= int 1
.. ..- attr(*, "intercept")= int 1
.. ..- attr(*, "response")= int 1
.. ..- attr(*, ".Environment")=<R_GlobalEnv>
.. ..- attr(*, "predvars")= language
list(log(alice.g$Types), log(alice.g$Tokens))
.. ..- attr(*, "dataClasses")= Named chr [1:2]
"numeric" "numeric"
.. .. ..- attr(*, "names")= chr [1:2]
"log(alice.g$Types)" "log(alice.g$Tokens)"
$ residuals : Named num [1:40] -0.09344 -0.01558
0.01508 0.00604 -0.00784 ...
..- attr(*, "names")= chr [1:40] "1" "2" "3" "4" ...
$ coefficients : num [1:2, 1:4] 1.81553 0.59876
0.04097 0.00442 44.31240 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:2] "(Intercept)" "log(alice.g$Tokens)"
.. ..$ : chr [1:4] "Estimate" "Std. Error" "t value"
"Pr(>|t|)"
$ aliased : Named logi [1:2] FALSE FALSE
..- attr(*, "names")= chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
$ sigma : num 0.0241
$ df : int [1:3] 2 38 2
$ r.squared : num 0.998
$ adj.r.squared: num 0.998
$ fstatistic : Named num [1:3] 18362 1 38
..- attr(*, "names")= chr [1:3] "value" "numdf"
"dendf"
$ cov.unscaled : num [1:2, 1:2] 2.8898 -0.3103
-0.3103 0.0336
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
.. ..$ : chr [1:2] "(Intercept)"
"log(alice.g$Tokens)"
- attr(*, "class")= chr "summary.lm"
<
の出力から調整済み &mathml(R^2); を取り出すには
summary(alice.g.lm)$adj.r.squared
とすればよい．
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