我正在使用tm软件包,并且正在寻找使用R的文档的Flesch-Kincaid分数。我发现koRpus软件包有很多指标,包括阅读级别,并开始使用它。但是,返回的对象似乎是一个非常复杂的s4对象,我不明白如何解析。如何从R中的koRpus对象提取内容?
所以,我将此我的文集:
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是然后应用到奥维flesch.kincaid的载体。
> x[[1]]
Flesch-Kincaid Grade Level
Parameters: default
Grade: 13.62
Age: 18.62
Text language: en
我怎样才能得到返回值等级= 13.62,年龄= 18.62?该STR(x)是如此之大,很难分析,即:
> str(x[[1]])
Formal class 'kRp.readability' [package "koRpus"] with 49 slots
[email protected] hyphen :Formal class 'kRp.hyphen' [package "koRpus"] with 3 slots
.. .. [email protected] lang : chr "en"
.. .. [email protected] 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
.. .. [email protected] 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" ...
[email protected] param :List of 1
.. ..$ Flesch.Kincaid: Named num [1:3] 0.39 11.8 15.59
.. .. ..- attr(*, "names")= chr [1:3] "asl" "asw" "const"
[email protected] ARI :List of 1
.. ..$ : logi NA
[email protected] ARI.NRI :List of 1
.. ..$ : logi NA
[email protected] ARI.simple :List of 1
.. ..$ : logi NA
[email protected] Bormuth :List of 1
.. ..$ : logi NA
[email protected] Coleman :List of 1
.. ..$ : logi NA
[email protected] Coleman.Liau :List of 1
.. ..$ : logi NA
[email protected] Dale.Chall :List of 1
.. ..$ : logi NA
[email protected] Dale.Chall.PSK :List of 1
.. ..$ : logi NA
[email protected] Dale.Chall.old :List of 1
.. ..$ : logi NA
[email protected] Danielson.Bryan :List of 1
.. ..$ : logi NA
[email protected] Dickes.Steiwer :List of 1
.. ..$ : logi NA
[email protected] DRP :List of 1
.. ..$ : logi NA
[email protected] ELF :List of 1
.. ..$ : logi NA
[email protected] Flesch :List of 1
.. ..$ : logi NA
[email protected] Flesch.PSK :List of 1
.. ..$ : logi NA
[email protected] Flesch.de :List of 1
.. ..$ : logi NA
[email protected] Flesch.es :List of 1
.. ..$ : logi NA
[email protected] Flesch.fr :List of 1
.. ..$ : logi NA
[email protected] Flesch.nl :List of 1
.. ..$ : logi NA
[email protected] Flesch.Kincaid :List of 3
.. ..$ flavour: chr "default"
.. ..$ grade : num 13.6
.. ..$ age : num 18.6
[email protected] Farr.Jenkins.Paterson :List of 1
.. ..$ : logi NA
[email protected] Farr.Jenkins.Paterson.PSK:List of 1
.. ..$ : logi NA
[email protected] FOG :List of 1
.. ..$ : logi NA
[email protected] FOG.PSK :List of 1
.. ..$ : logi NA
[email protected] FOG.NRI :List of 1
.. ..$ : logi NA
[email protected] FORCAST :List of 1
.. ..$ : logi NA
[email protected] FORCAST.RGL :List of 1
.. ..$ : logi NA
[email protected] Fucks :List of 1
.. ..$ : logi NA
[email protected] Harris.Jacobson :List of 1
.. ..$ : logi NA
[email protected] Linsear.Write :List of 1
.. ..$ : logi NA
[email protected] LIX :List of 1
.. ..$ : logi NA
[email protected] RIX :List of 1
.. ..$ : logi NA
[email protected] SMOG :List of 1
.. ..$ : logi NA
[email protected] SMOG.de :List of 1
.. ..$ : logi NA
[email protected] SMOG.C :List of 1
.. ..$ : logi NA
[email protected] SMOG.simple :List of 1
.. ..$ : logi NA
[email protected] Spache :List of 1
.. ..$ : logi NA
[email protected] Spache.old :List of 1
.. ..$ : logi NA
[email protected] Strain :List of 1
.. ..$ : logi NA
[email protected] Traenkle.Bailer :List of 1
.. ..$ : logi NA
[email protected] TRI :List of 1
.. ..$ : logi NA
[email protected] Wheeler.Smith :List of 1
.. ..$ : logi NA
[email protected] Wheeler.Smith.de :List of 1
.. ..$ : logi NA
[email protected] Wiener.STF :List of 1
.. ..$ : logi NA
[email protected] lang : chr "en"
[email protected] 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
[email protected] 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)" ...
我非常喜欢的F-K分数分配给元(d)早在TM。
我很欣赏学习如何理解这个返回对象并拿出它的价值,但是,如果还有另一种更好,更快的方式来获得F-K分数,我全都是耳朵!
我用foreach选择的策略似乎限制了我的错误处理能力。如果任何人有如何直接推荐这个建议,我会很感激。 – Mittenchops 2013-02-13 15:29:45