如何從R中的koRpus對象提取內容？

Question

我正在使用tm軟件包，並且正在尋找使用R的文檔的Flesch-Kincaid分數。我發現koRpus軟件包有很多指標，包括閱讀級別，並開始使用它。但是，返回的對象似乎是一個非常複雜的s4對象，我不明白如何解析。

所以，我將此我的文集：

txt <- system.file("texts", "txt", package = "tm") 
(d <- Corpus(DirSource(txt, encoding = "UTF-8"), readerControl = list(language = "lat"))) 

f <- function(x) tokenize(x, format="obj", lang='en') 
g <- function(x) flesch.kincaid(x) 
x <- foreach(i=1:5) %dopar% g(f(d[[i]])) 

x是然後應用到奧維flesch.kincaid的載體。

> x[[1]] 

Flesch-Kincaid Grade Level 
    Parameters: default 
     Grade: 13.62 
     Age: 18.62 

Text language: en 

我怎樣才能得到返回值等級= 13.62，年齡= 18.62？該STR（x）是如此之大，很難分析，即：

> str(x[[1]]) 
Formal class 'kRp.readability' [package "koRpus"] with 49 slots 
    ..@ hyphen     :Formal class 'kRp.hyphen' [package "koRpus"] with 3 slots 
    .. .. ..@ lang : chr "en" 
    .. .. ..@ desc :List of 5 
    .. .. .. ..$ num.syll   : num 196 
    .. .. .. ..$ syll.distrib  : num [1:6, 1:4] 25 25 65 27.8 27.8 ... 
    .. .. .. .. ..- attr(*, "dimnames")=List of 2 
    .. .. .. .. .. ..$ : chr [1:6] "num" "cum.sum" "cum.inv" "pct" ... 
    .. .. .. .. .. ..$ : chr [1:4] "1" "2" "3" "4" 
    .. .. .. ..$ syll.uniq.distrib: num [1:6, 1:4] 15 15 61 19.7 19.7 ... 
    .. .. .. .. ..- attr(*, "dimnames")=List of 2 
    .. .. .. .. .. ..$ : chr [1:6] "num" "cum.sum" "cum.inv" "pct" ... 
    .. .. .. .. .. ..$ : chr [1:4] "1" "2" "3" "4" 
    .. .. .. ..$ avg.syll.word : num 2.18 
    .. .. .. ..$ syll.per100  : num 218 
    .. .. ..@ hyphen:'data.frame': 90 obs. of 2 variables: 
    .. .. .. ..$ syll: num [1:90] 1 1 1 1 2 3 1 2 3 1 ... 
    .. .. .. ..$ word: chr [1:90] "Si" "quis" "in" "hoc" ... 
    ..@ param     :List of 1 
    .. ..$ Flesch.Kincaid: Named num [1:3] 0.39 11.8 15.59 
    .. .. ..- attr(*, "names")= chr [1:3] "asl" "asw" "const" 
    ..@ ARI      :List of 1 
    .. ..$ : logi NA 
    ..@ ARI.NRI     :List of 1 
    .. ..$ : logi NA 
    ..@ ARI.simple    :List of 1 
    .. ..$ : logi NA 
    ..@ Bormuth     :List of 1 
    .. ..$ : logi NA 
    ..@ Coleman     :List of 1 
    .. ..$ : logi NA 
    ..@ Coleman.Liau    :List of 1 
    .. ..$ : logi NA 
    ..@ Dale.Chall    :List of 1 
    .. ..$ : logi NA 
    ..@ Dale.Chall.PSK   :List of 1 
    .. ..$ : logi NA 
    ..@ Dale.Chall.old   :List of 1 
    .. ..$ : logi NA 
    ..@ Danielson.Bryan   :List of 1 
    .. ..$ : logi NA 
    ..@ Dickes.Steiwer   :List of 1 
    .. ..$ : logi NA 
    ..@ DRP      :List of 1 
    .. ..$ : logi NA 
    ..@ ELF      :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch     :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.PSK    :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.de    :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.es    :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.fr    :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.nl    :List of 1 
    .. ..$ : logi NA 
    ..@ Flesch.Kincaid   :List of 3 
    .. ..$ flavour: chr "default" 
    .. ..$ grade : num 13.6 
    .. ..$ age : num 18.6 
    ..@ Farr.Jenkins.Paterson :List of 1 
    .. ..$ : logi NA 
    ..@ Farr.Jenkins.Paterson.PSK:List of 1 
    .. ..$ : logi NA 
    ..@ FOG      :List of 1 
    .. ..$ : logi NA 
    ..@ FOG.PSK     :List of 1 
    .. ..$ : logi NA 
    ..@ FOG.NRI     :List of 1 
    .. ..$ : logi NA 
    ..@ FORCAST     :List of 1 
    .. ..$ : logi NA 
    ..@ FORCAST.RGL    :List of 1 
    .. ..$ : logi NA 
    ..@ Fucks     :List of 1 
    .. ..$ : logi NA 
    ..@ Harris.Jacobson   :List of 1 
    .. ..$ : logi NA 
    ..@ Linsear.Write   :List of 1 
    .. ..$ : logi NA 
    ..@ LIX      :List of 1 
    .. ..$ : logi NA 
    ..@ RIX      :List of 1 
    .. ..$ : logi NA 
    ..@ SMOG      :List of 1 
    .. ..$ : logi NA 
    ..@ SMOG.de     :List of 1 
    .. ..$ : logi NA 
    ..@ SMOG.C     :List of 1 
    .. ..$ : logi NA 
    ..@ SMOG.simple    :List of 1 
    .. ..$ : logi NA 
    ..@ Spache     :List of 1 
    .. ..$ : logi NA 
    ..@ Spache.old    :List of 1 
    .. ..$ : logi NA 
    ..@ Strain     :List of 1 
    .. ..$ : logi NA 
    ..@ Traenkle.Bailer   :List of 1 
    .. ..$ : logi NA 
    ..@ TRI      :List of 1 
    .. ..$ : logi NA 
    ..@ Wheeler.Smith   :List of 1 
    .. ..$ : logi NA 
    ..@ Wheeler.Smith.de   :List of 1 
    .. ..$ : logi NA 
    ..@ Wiener.STF    :List of 1 
    .. ..$ : logi NA 
    ..@ lang      : chr "en" 
    ..@ desc      :List of 26 
    .. ..$ sentences   : int 10 
    .. ..$ words    : int 90 
    .. ..$ letters   : Named num [1:12] 492 0 8 9 14 18 14 9 10 6 ... 
    .. .. ..- attr(*, "names")= chr [1:12] "all" "l1" "l2" "l3" ... 
    .. ..$ all.chars   : int 692 
    .. ..$ syllables   : Named num [1:5] 196 25 32 25 8 
    .. .. ..- attr(*, "names")= chr [1:5] "all" "s1" "s2" "s3" ... 
    .. ..$ lttr.distrib  : num [1:6, 1:11] 0 0 90 0 0 ... 
    .. .. ..- attr(*, "dimnames")=List of 2 
    .. .. .. ..$ : chr [1:6] "num" "cum.sum" "cum.inv" "pct" ... 
    .. .. .. ..$ : chr [1:11] "1" "2" "3" "4" ... 
    .. ..$ syll.distrib  : num [1:6, 1:4] 25 25 65 27.8 27.8 ... 
    .. .. ..- attr(*, "dimnames")=List of 2 
    .. .. .. ..$ : chr [1:6] "num" "cum.sum" "cum.inv" "pct" ... 
    .. .. .. ..$ : chr [1:4] "1" "2" "3" "4" 
    .. ..$ syll.uniq.distrib : num [1:6, 1:4] 15 15 61 19.7 19.7 ... 
    .. .. ..- attr(*, "dimnames")=List of 2 
    .. .. .. ..$ : chr [1:6] "num" "cum.sum" "cum.inv" "pct" ... 
    .. .. .. ..$ : chr [1:4] "1" "2" "3" "4" 
    .. ..$ punct    : int 17 
    .. ..$ conjunctions  : int 0 
    .. ..$ prepositions  : int 0 
    .. ..$ pronouns   : int 0 
    .. ..$ foreign   : int 0 
    .. ..$ TTR    : num 0.844 
    .. ..$ avg.sentc.length : num 9 
    .. ..$ avg.word.length : num 5.47 
    .. ..$ avg.syll.word  : num 2.18 
    .. ..$ sntc.per.word  : num 0.111 
    .. ..$ sntc.per100  : num 11.1 
    .. ..$ lett.per100  : num 547 
    .. ..$ syll.per100  : num 218 
    .. ..$ FOG.hard.words  : NULL 
    .. ..$ Bormuth.NOL  : NULL 
    .. ..$ Dale.Chall.NOL  : NULL 
    .. ..$ Harris.Jacobson.NOL: NULL 
    .. ..$ Spache.NOL   : NULL 
    ..@ TT.res     :'data.frame': 107 obs. of 6 variables: 
    .. ..$ token : chr [1:107] "Si" "quis" "in" "hoc" ... 
    .. ..$ tag : chr [1:107] "word.kRp" "word.kRp" "word.kRp" "word.kRp" ... 
    .. ..$ lemma : chr [1:107] "" "" "" "" ... 
    .. ..$ lttr : num [1:107] 2 4 2 3 5 6 3 5 6 1 ... 
    .. ..$ wclass: chr [1:107] "word" "word" "word" "word" ... 
    .. ..$ desc : chr [1:107] "Word (kRp internal)" "Word (kRp internal)" "Word (kRp internal)" "Word (kRp internal)" ... 

我非常喜歡的F-K分數分配給元（d）早在TM。

我很欣賞學習如何理解這個返回對象並拿出它的價值，但是，如果還有另一種更好，更快的方式來獲得F-K分數，我全都是耳朵！

Answer 1

類似@保羅的答案，但一個班輪解決方案

sapply(lapply(x,slot,'Flesch.Kincaid'),'[',c('age','grade')) 
     [,1]  [,2]  [,3]  [,4]  [,5] 
age 18.61778 17.62351 17.77699 18.29032 18.645 
grade 13.61778 12.62351 12.77699 13.29032 13.645 

Answer 2

只需使用：

slot(x[[1]], "Flesch.Kincaid") 

獲取包含這些值對象的子集。要在x每個元素的列表得到這些，做這樣的事情：

list_fk = lapply(x, slot, "Flesch.Kincaid) 

...並得到一個向量與grade：

grades = sapply(list_fk, "[[", "grade")