tekst="Juku tuli kooli"
strsplit(tekst, "")[[1]]
## [1] "J" "u" "k" "u" " " "t" "u" "l" "i" " " "k" "o" "o" "l" "i"
table(strsplit(tekst, "")[[1]])
##
## i J k l o t u
## 2 2 1 2 2 2 1 3
library(tidyverse)
## -- Attaching packages ----------------------------------------------------- tidyverse 1.2.1 --
## <U+221A> ggplot2 3.0.0 <U+221A> purrr 0.2.5
## <U+221A> tibble 1.4.2 <U+221A> dplyr 0.7.6
## <U+221A> tidyr 0.8.1 <U+221A> stringr 1.3.1
## <U+221A> readr 1.1.1 <U+221A> forcats 0.3.0
## -- Conflicts -------------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
str_split(tekst, "")
## [[1]]
## [1] "J" "u" "k" "u" " " "t" "u" "l" "i" " " "k" "o" "o" "l" "i"
unique(str_split(tekst, "")[[1]])
## [1] "J" "u" "k" " " "t" "l" "i" "o"
tibble(taht=str_split(tekst, "")[[1]])
## # A tibble: 15 x 1
## taht
## <chr>
## 1 J
## 2 u
## 3 k
## 4 u
## 5 " "
## 6 t
## 7 u
## 8 l
## 9 i
## 10 " "
## 11 k
## 12 o
## 13 o
## 14 l
## 15 i
tibble(taht=str_split(str_to_lower(tekst), "")[[1]]) %>% group_by(taht) %>%
summarise(kogus=n()) %>% arrange(-kogus)
## # A tibble: 8 x 2
## taht kogus
## <chr> <int>
## 1 u 3
## 2 " " 2
## 3 i 2
## 4 k 2
## 5 l 2
## 6 o 2
## 7 j 1
## 8 t 1
read_file("http://minitorn.tlu.ee/~jaagup/kool/java/kursused/18/r/juhend.txt")
## [1] "Kursusel tulemuse kirja saamiseks tarvilik\r\n\r\n* Märksõnade paarid filmi andmebaasis 13.09\r\n* Arvutused + joonis filmiandmestiku põhjal 04.10\r\n* Võrgustiku uuring filmiandmestiku põhjal 18.10\r\n* Jaotused ja tõenäosusfunktsioonid 18.10\r\n* Rühmade arvulised võrdlused (T-test ja ANOVA) 08.11\r\n* Shiny interaktiivsed joonised filmibaasi põhjal 15.11\r\n\r\nSelgitusi\r\n\r\n* Märksõnade paarid filmi andmebaasis \r\n\r\nFilmirühma (näiteks etteantud aastakümnes tehtud filmide) puhul sama filmi juures koos kasutatud märksõnade paarid järjestatuna paaride sageduse järgi\r\n\r\n\r\n* Arvutused + joonis filmiandmestiku põhjal \r\n\r\nKeerukus vastavalt võimetele. Võib olla ülevaade ühe tabeli \r\nandmete põhjal, aga põnevad avastused alati oodatud. \r\nVäljund soovitavalt R Markdowni abil\r\n\r\n* Võrgustiku uuring filmiandmestiku põhjal\r\n\r\nNäiteid: märksõnade koosesinemine, filmid ja festivalid, \r\nnäitlejad ja filmid, ajatelg.\r\nVaja katsetada, kuidas andmehulka piirata, et tulemus loetav oleks\r\nTemaatiline esitlus (2-5 minutit) + seletus, kuidas see koostati\r\n\r\n* Jaotused ja tõenäosusfunktsioonid\r\n\r\nNormaaljaotus, binoomjaotus, poisooni jaotus\r\nrnorm, pnorm, qnorm, pbinom, ppois\r\n\r\n* Rühmade arvulised võrdlused (T-test ja ANOVA)\r\n\r\nSoovitavalt keeleandmestiku põhjal. Andmestiku üldine tutvustus arvude ja jooniste abil.\r\nKahe arvukogumi võrdlus T-testi abil, juurde seletavad laused\r\nJaotuse sõltuvus rühmast ANOVA abil, juurde seletavad laused, karpdiagramm\r\nVõimalusel MANOVA\r\nEsitus soovitavalt R Markdowni abil loodud HTML-leht\r\n\r\n* Shiny interaktiivsed joonised filmibaasi põhjal\r\n\r\nKasutaja sisestusest/valikust sõltuvad joonised Shiny veebilehel\r\n\r\n\r\njaagup@tlu.ee"
#Järjestage veebifailis olevad tähed sageduse järgi
tekst= read_file("http://minitorn.tlu.ee/~jaagup/kool/java/kursused/18/r/juhend.txt")
tibble(taht=str_split(str_to_lower(tekst), "")[[1]]) %>% group_by(taht) %>%
summarise(kogus=n()) %>% arrange(-kogus)
## # A tibble: 46 x 2
## taht kogus
## <chr> <int>
## 1 " " 259
## 2 a 152
## 3 i 118
## 4 s 112
## 5 e 110
## 6 t 96
## 7 u 84
## 8 l 75
## 9 d 71
## 10 o 61
## # ... with 36 more rows
list.files("d:/r/1115/uuritavad")
## [1] "juhend_r.txt" "juhend_veebiraamistikud.txt"
## [3] "Puu2.java" "Puu4.java"
tahtedeSagedused <- function(failinimi){
tekst= read_file(failinimi)
vastus=tibble(taht=str_split(str_to_lower(tekst), "")[[1]]) %>% group_by(taht) %>%
summarise(kogus=n())
return (vastus)
}
print(tahtedeSagedused("d:/r/1115/uuritavad/Puu2.java"))
## # A tibble: 49 x 2
## taht kogus
## <chr> <int>
## 1 - 1
## 2 " " 130
## 3 "\n" 31
## 4 "\"" 2
## 5 ( 38
## 6 ) 38
## 7 * 1
## 8 , 20
## 9 . 32
## 10 ; 16
## # ... with 39 more rows
kaust="d:/r/1115/uuritavad/"
tabel1=tahtedeSagedused(paste(kaust, "Puu2.java", sep=""))
tabel2=tahtedeSagedused(paste(kaust, "juhend_r.txt", sep=""))
colnames(tabel2)=c("taht", "juhend_r.txt")
tabel1 %>% full_join(tabel2, by="taht") %>% replace(., is.na(.), 0)
## # A tibble: 59 x 3
## taht kogus juhend_r.txt
## <chr> <dbl> <dbl>
## 1 - 1 5
## 2 " " 130 259
## 3 "\n" 31 0
## 4 "\"" 2 0
## 5 ( 38 4
## 6 ) 38 4
## 7 * 1 12
## 8 , 20 16
## 9 . 32 12
## 10 ; 16 0
## # ... with 49 more rows
# tabel1 %>% left_join(tabel2 %>% rename(juhend_r=kogus), by="taht")
kaust="d:/r/1115/uuritavad/"
failinimed=list.files(kaust)
koos=tahtedeSagedused(paste(kaust, failinimed[1], sep=""))
colnames(koos)=c("taht", failinimed[1])
for(failinimi in failinimed[2:length(failinimed)]){
tabel=tahtedeSagedused(paste(kaust, failinimi, sep=""))
colnames(tabel)=c("taht", failinimi)
koos=koos %>% full_join(tabel, by="taht")
}
koos=koos %>% replace(., is.na(.), 0)
print(koos)
## # A tibble: 63 x 5
## taht juhend_r.txt juhend_veebiraamistikud.txt Puu2.java Puu4.java
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 - 5 3 1 2
## 2 " " 259 262 130 380
## 3 "\r\n" 47 29 0 0
## 4 ( 4 0 38 77
## 5 ) 4 0 38 77
## 6 * 12 5 1 2
## 7 , 16 4 20 46
## 8 . 12 22 32 52
## 9 / 1 2 0 8
## 10 : 1 4 0 3
## # ... with 53 more rows
arvud=koos %>% select(-taht)
t(arvud)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
## juhend_r.txt 5 259 47 4 4 12 16 12 1
## juhend_veebiraamistikud.txt 3 262 29 0 0 5 4 22 2
## Puu2.java 1 130 0 38 38 1 20 32 0
## Puu4.java 2 380 0 77 77 2 46 52 8
## [,10] [,11] [,12] [,13] [,14] [,15] [,16]
## juhend_r.txt 1 1 3 6 11 1 1
## juhend_veebiraamistikud.txt 4 1 0 13 35 9 5
## Puu2.java 0 0 0 13 10 12 11
## Puu4.java 3 0 3 47 34 15 10
## [,17] [,18] [,19] [,20] [,21] [,22] [,23]
## juhend_r.txt 1 2 3 1 152 14 71
## juhend_veebiraamistikud.txt 4 1 2 5 114 20 40
## Puu2.java 1 2 0 2 46 4 21
## Puu4.java 8 9 0 0 125 27 63
## [,24] [,25] [,26] [,27] [,28] [,29] [,30]
## juhend_r.txt 110 16 12 23 118 40 41
## juhend_veebiraamistikud.txt 140 4 14 8 128 15 66
## Puu2.java 36 7 13 11 45 7 4
## Puu4.java 153 9 32 31 119 22 34
## [,31] [,32] [,33] [,34] [,35] [,36] [,37]
## juhend_r.txt 75 54 59 61 22 1 48
## juhend_veebiraamistikud.txt 52 47 54 52 21 0 54
## Puu2.java 14 8 39 18 49 0 17
## Puu4.java 89 26 95 87 86 0 65
## [,38] [,39] [,40] [,41] [,42] [,43] [,44]
## juhend_r.txt 112 96 84 43 2 25 12
## juhend_veebiraamistikud.txt 85 86 49 33 0 9 9
## Puu2.java 30 30 24 6 8 0 0
## Puu4.java 103 98 85 32 18 0 0
## [,45] [,46] [,47] [,48] [,49] [,50] [,51]
## juhend_r.txt 8 3 0 0 0 0 0
## juhend_veebiraamistikud.txt 2 1 1 1 2 12 0
## Puu2.java 0 9 0 1 10 0 31
## Puu4.java 0 14 0 1 28 0 81
## [,52] [,53] [,54] [,55] [,56] [,57] [,58]
## juhend_r.txt 0 0 0 0 0 0 0
## juhend_veebiraamistikud.txt 0 0 0 0 0 0 0
## Puu2.java 2 16 1 1 7 7 4
## Puu4.java 8 45 1 1 16 16 22
## [,59] [,60] [,61] [,62] [,63]
## juhend_r.txt 0 0 0 0 0
## juhend_veebiraamistikud.txt 0 0 0 0 0
## Puu2.java 1 1 11 0 0
## Puu4.java 1 4 10 3 1
koos$taht
## [1] "-" " " "\r\n" "(" ")" "*" "," "." "/" ":"
## [11] "@" "+" "0" "1" "2" "3" "4" "5" "8" "9"
## [21] "a" "b" "d" "e" "f" "g" "h" "i" "j" "k"
## [31] "l" "m" "n" "o" "p" "q" "r" "s" "t" "u"
## [41] "v" "w" "õ" "ä" "ü" "y" "6" "7" "c" "ö"
## [51] "\n" "\"" ";" "[" "]" "{" "}" "=" ">" "z"
## [61] "x" "<e4>" "<fc>"
failiandmed=t(arvud)
failiandmed
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
## juhend_r.txt 5 259 47 4 4 12 16 12 1
## juhend_veebiraamistikud.txt 3 262 29 0 0 5 4 22 2
## Puu2.java 1 130 0 38 38 1 20 32 0
## Puu4.java 2 380 0 77 77 2 46 52 8
## [,10] [,11] [,12] [,13] [,14] [,15] [,16]
## juhend_r.txt 1 1 3 6 11 1 1
## juhend_veebiraamistikud.txt 4 1 0 13 35 9 5
## Puu2.java 0 0 0 13 10 12 11
## Puu4.java 3 0 3 47 34 15 10
## [,17] [,18] [,19] [,20] [,21] [,22] [,23]
## juhend_r.txt 1 2 3 1 152 14 71
## juhend_veebiraamistikud.txt 4 1 2 5 114 20 40
## Puu2.java 1 2 0 2 46 4 21
## Puu4.java 8 9 0 0 125 27 63
## [,24] [,25] [,26] [,27] [,28] [,29] [,30]
## juhend_r.txt 110 16 12 23 118 40 41
## juhend_veebiraamistikud.txt 140 4 14 8 128 15 66
## Puu2.java 36 7 13 11 45 7 4
## Puu4.java 153 9 32 31 119 22 34
## [,31] [,32] [,33] [,34] [,35] [,36] [,37]
## juhend_r.txt 75 54 59 61 22 1 48
## juhend_veebiraamistikud.txt 52 47 54 52 21 0 54
## Puu2.java 14 8 39 18 49 0 17
## Puu4.java 89 26 95 87 86 0 65
## [,38] [,39] [,40] [,41] [,42] [,43] [,44]
## juhend_r.txt 112 96 84 43 2 25 12
## juhend_veebiraamistikud.txt 85 86 49 33 0 9 9
## Puu2.java 30 30 24 6 8 0 0
## Puu4.java 103 98 85 32 18 0 0
## [,45] [,46] [,47] [,48] [,49] [,50] [,51]
## juhend_r.txt 8 3 0 0 0 0 0
## juhend_veebiraamistikud.txt 2 1 1 1 2 12 0
## Puu2.java 0 9 0 1 10 0 31
## Puu4.java 0 14 0 1 28 0 81
## [,52] [,53] [,54] [,55] [,56] [,57] [,58]
## juhend_r.txt 0 0 0 0 0 0 0
## juhend_veebiraamistikud.txt 0 0 0 0 0 0 0
## Puu2.java 2 16 1 1 7 7 4
## Puu4.java 8 45 1 1 16 16 22
## [,59] [,60] [,61] [,62] [,63]
## juhend_r.txt 0 0 0 0 0
## juhend_veebiraamistikud.txt 0 0 0 0 0
## Puu2.java 1 1 11 0 0
## Puu4.java 1 4 10 3 1
dist(failiandmed)
## juhend_r.txt juhend_veebiraamistikud.txt
## juhend_veebiraamistikud.txt 99.05554
## Puu2.java 278.61263 255.13330
## Puu4.java 236.17578 235.90888
## Puu2.java
## juhend_veebiraamistikud.txt
## Puu2.java
## Puu4.java 366.51876
asukohad=cmdscale(dist(failiandmed), 2 )
class(asukohad)
## [1] "matrix"
plot(asukohad)
![](data:image/png;base64,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)
as_tibble(asukohad) %>% add_column(fnimed=rownames(asukohad)) %>%
ggplot(aes(V1, V2, label=fnimed)) + geom_text()
![](data:image/png;base64,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)
asukohad=cmdscale(dist(scale(failiandmed)), 2 )
as_tibble(asukohad) %>% add_column(fnimed=rownames(asukohad)) %>%
ggplot(aes(V1, V2, label=fnimed)) + geom_text()
![](data:image/png;base64,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)
failiandmed=t(scale(arvud))
asukohad=cmdscale(dist(failiandmed), 2 )
as_tibble(asukohad) %>% add_column(fnimed=rownames(asukohad)) %>%
ggplot(aes(V1, V2, label=fnimed)) + geom_text()
![](data:image/png;base64,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)