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Início / user-8039978

Chris Ruehlemann's questions

Martin Hope
Chris Ruehlemann
Asked: 2024-11-03 01:50:43 +0800 CST

Determinar janelas de tempo sobrepostas

  • 8

Esta questão é uma continuação desta: Calcule o olhar mútuo a partir de olhares individuais .

Estou trabalhando com dados de olhar em sequências de perguntas e respostas em conversas tradicionais e quero saber quando exatamente e por quanto tempo há olhar mútuo , ou seja, uma pessoa olhando para outra pessoa e essa outra pessoa olhando de volta. A resposta à pergunta anterior lidou lindamente com sequências de perguntas e respostas nas quais havia apenas olhar mútuo entre o falante e os ouvintes, mas não consegue lidar com uma situação em que também há olhar mútuo entre os dois ouvintes.

O tipo de dados que tenho é ilustrado aqui:

   GazeID Sequ Utterance Q_by Answ_by Gaze_by Gaze_to        Role start end Gaze_pair
1:      1   55 where...?    A       B       A       B     Speaker   100 700        AB
2:      2   55 where...?    A       B       B       A    Answerer     0 200        AB
3:      3   55 where...?    A       B       B       C    Answerer   230 500        BC
4:      4   55 where...?    A       B       C       B NonAnswerer   120 620        BC
5:      5   55 where...?    A       B       C       A NonAnswerer   650 700        AC

Aqui, há um olhar mútuo (i) entre Speakere , Answerermas também entre Answerere NonAnswerer, de modo que a saída desejada é esta:

   Sequ    Utterance   MG_start    MG_end    MG_dur   Gaze_pair
1: 55      where...?        100       200       100          AB
2: 55      where...?        230       500       270          BC

Tentei adaptar a solução da questão anterior, que foi construída na data.tablefunção foverlaps, para este cenário, mas recebi um erro.

NB: Pode haver, em qualquer sequência de perguntas e respostas, múltiplos olhares mútuos e pode haver olhar mútuo entre (i) Speaker_Answerer, (ii) Speaker-NonAnswerere (iii) Answerer-NonAnswerer.

Qualquer ajuda com essa questão será muito apreciada.

Dados reproduzíveis :

gazes <- structure(list(GazeID = 1:5, Sequ = c(55, 55, 55, 55, 55), Utterance = c("where...?", 
"where...?", "where...?", "where...?", "where...?"), Q_by = c("A", 
"A", "A", "A", "A"), Answ_by = c("B", "B", "B", "B", "B"), Gaze_by = c("A", 
"B", "B", "C", "C"), Gaze_to = c("B", "A", "C", "B", "A"), Role = c("Speaker", 
"Answerer", "Answerer", "NonAnswerer", "NonAnswerer"), start = c(100L, 
0L, 230L, 120L, 650L), end = c(700L, 200L, 500L, 620L, 700L), 
    Gaze_pair = c("AB", "AB", "BC", "BC", "AC")), class = c("tbl_df", 
"tbl", "data.frame"), row.names = c(NA, -5L))
  • 1 respostas
  • 98 Views
Martin Hope
Chris Ruehlemann
Asked: 2024-05-04 01:45:47 +0800 CST

Insira uma nova linha indicando o intervalo de tempo entre as linhas

  • 9

Estou trabalhando com transcrições de fala:

  Utterance                       Starttime_ms Endtime_ms
  <chr>                                  <dbl>      <dbl>
1 on this                                  210        780
2 okay                                    3403       3728
3 cool thanks everyone um                 4221       5880
4 so yes in terms of our projects         5910      11960
5 let's have a look so the               11980      13740
6 LGBTQ plus                             13813      16110

e gostaria de inserir após cada Utteranceuma nova linha indicando o intervalo de tempo em relação ao anterior Utterance. A saída desejada seria mais ou menos assim:

  Utterance                       Starttime_ms Endtime_ms
  <chr>                                  <dbl>      <dbl>
1 on this                                  210        780
  NA                                       780       3403
2 okay                                    3403       3728
  NA                                      3728       4221
3 cool thanks everyone um                 4221       5880
  NA                                      5880       5910
4 so yes in terms of our projects         5910      11960
  NA                                     11960      11980
5 let's have a look so the               11980      13740
  NA                                     13740      13813
6 LGBTQ plus                             13813      16110

Eu sei como fazer isso em data.table:

library(data.table)
unq <- c(0, sort(unique(setDT(df)[, c(Starttime_ms, Endtime_ms)])))
df <- df[.(unq[-length(unq)], unq[-1]), on=c("Starttime_ms", "Endtime_ms")]

Mas estou procurando uma dplyrsolução.

Dados:

df <-   structure(list(Utterance = c("on this", "okay", "cool thanks everyone um", 
                                     "so yes in terms of our projects", 
                                     "let's have a look so the", "LGBTQ plus"), Starttime_ms = c(210, 
                                                                                                 3403, 4221, 5910, 11980, 13813), Endtime_ms = c(780, 3728, 5880, 
                                                                                                                                                 11960, 13740, 16110)), row.names = c(NA, -6L), class = c("tbl_df", 
                                                                                                                                                                                                          "tbl", "data.frame"))
  • 5 respostas
  • 69 Views
Martin Hope
Chris Ruehlemann
Asked: 2024-03-02 00:41:44 +0800 CST

Colocando texto em gráficos de barras empilhadas no ggplot

  • 5

Tenho dificuldade em colocar o texto nas posições corretas de um gráfico de barras empilhado. Especificamente, quero colocar os ZipfColl_meanvalores no meio de suas respectivas pilhas:

library(viridis)
library(hrbrthemes)
library(ggplot2)

adj %>%
  group_by(Struktur2) %>%
  mutate(ZipfColl_mean = round(mean(ZipfColl),2)) %>%
  
ggplot(aes(fill=Struktur2, x=Adjektivsemantik))+ 
  geom_bar(position = "stack", stat = "count") +
  scale_fill_viridis(discrete = T, option = "E", name = "Structure", labels = c("full", "fragment", "topic drop")) +
  geom_text(aes(x = Adjektivsemantik, y = ZipfColl_mean, label = ZipfColl_mean, color = "red"))+
  ggtitle("") +
  facet_grid(rows=vars(Feedbackposition), cols=vars(Referenzstruktur), switch="y") +
  theme_ipsum() +
  xlab("")

insira a descrição da imagem aqui

Como os ZipfColl_meanvalores podem ser colocados no meio de suas respectivas pilhas?

Dados:

adj <- structure(list(Struktur2 = structure(c(3L, 1L, 1L, 1L, 1L, 1L, 
                                             1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 1L, 2L), levels = c("full", 
                                                                                                                 "fragment", "topic_drop"), class = "factor"), Adjektivsemantik = structure(c(2L, 
                                                                                                                                                                                              1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
                                                                                                                                                                                              2L, 2L, 2L), levels = c("descriptive", "evaluative"), class = "factor"), 
                     Referenzstruktur = structure(c(1L, 2L, 2L, 1L, 1L, 1L, 2L, 
                                                    1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), levels = c("individual", 
                                                                                                                    "proposition"), class = "factor"), Feedbackposition = structure(c(1L, 
                                                                                                                                                                                      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
                                                                                                                                                                                      1L, 2L, 1L, 2L), levels = c("other", "feedback"), class = "factor"), 
                     ZipfColl = c(4.43, 4.43, 4.43, 4.43, 4.43, 4.43, 4.43, 4.43, 
                                  4.43, 4.43, 4.43, 5.61, 5.61, 5.61, 5.61, 5.61, 5.61, 5.61, 
                                  5.61, 5.61)), row.names = c(1L, 2L, 3L, 4L, 5L, 7L, 8L, 9L, 
                                                              14L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 24L, 25L, 26L, 27L), class = "data.frame")
  • 1 respostas
  • 16 Views
Martin Hope
Chris Ruehlemann
Asked: 2024-02-24 19:12:23 +0800 CST

Plotar modelo de efeitos mistos com preditor binário e variável de resposta binária

  • 5

Estou procurando uma maneira agradável e informativa de visualizar um modelo misto em que a variável de resposta e a variável preditora sejam binárias.

m_0 <- glmer(Preselected_0 ~ N_G_altnt_Q_YN + (N_G_altnt_Q_YN | File / Person_anon), family = "binomial", 
                    data = df)

O gráfico que recebo ao usar plot_modelé este:

library(sjPlot)

plot_model(m_0, type = "eff", terms = c("N_G_altnt_Q_YN"), #pred.type = "fe", ci.lvl = .68, line.size = 1.2,
           title = ""
)

insira a descrição da imagem aqui

O tipo de gráfico que eu gostaria de obter é este: ou, se isso não for possível ou aconselhável com o preditor binário, alguma outra visualização que seja visualmente mais atraente e informativa - qualquer ajuda será apreciada!

insira a descrição da imagem aqui

Dados:

df <- structure(list(N_G_altnt_Q_YN = structure(c(1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 2L), levels = c("0", "1"), class = "factor"), 
    Preselected_0 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L), levels = c("YES", "NO"
    ), class = "factor"), File = c("F01", "F01", "F01", "F01", 
    "F01", "F01", "F01", "F01", "F01", "F01", "F01", "F01", "F01", 
    "F01", "F01", "F01", "F01", "F01", "F01", "F01", "F01", "F01", 
    "F01", "F01", "F01", "F01", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", "F04", 
    "F04", "F04", "F04", "F04", "F04", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", "F07", 
    "F07", "F07", "F07", "F07", "F08", "F08", "F08", "F08", "F08", 
    "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", 
    "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", 
    "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F08", 
    "F08", "F08", "F08", "F08", "F08", "F08", "F08", "F12", "F12", 
    "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F12", 
    "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F12", 
    "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F12", "F16", 
    "F16", "F16", "F16", "F16", "F16", "F16", "F16", "F16", "F16", 
    "F16", "F16", "F16", "F16", "F16", "F16", "F16", "F16", "F16", 
    "F18", "F18", "F18", "F18", "F18", "F18", "F18", "F18", "F18", 
    "F18", "F18", "F18", "F18", "F18", "F18", "F18", "F18", "F18", 
    "F18", "F18", "F18", "F18", "F18", "F20", "F20", "F20", "F20", 
    "F20", "F20", "F20", "F20", "F20", "F20", "F20", "F20", "F20", 
    "F20", "F20", "F20", "F20", "F20", "F20", "F22", "F22", "F22", 
    "F22", "F22", "F22", "F22", "F22", "F22", "F22", "F23", "F23", 
    "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", 
    "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", 
    "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", 
    "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", "F23", 
    "F23", "F19", "F19", "F19", "F19", "F19", "F19", "F19", "F19", 
    "F19", "F19", "F19", "F16"), Person_anon = c("GGGGGGGGGGGGGGGl", 
    "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", 
    "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "GGGGGGGGGGGGGGGl", "IIIIIIIIIIIIt", 
    "IIIIIIIIIIIIt", "KKKKKKKKKKr", "IIIIIIIIIIIIt", "KKKKKKKKKKr", 
    "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "GGGGGGGGGGGGGGGl", 
    "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "KKKKKKKKKKr", "IIIIIIIIIIIIt", 
    "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", "IIIIIIIIIIIIt", 
    "IIIIIIIIIIIIt", "DDDDDDDDDDDDe", "AAAAAAAAAAAAAn", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "CCCCCCCCCCx", "CCCCCCCCCCx", 
    "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "AAAAAAAAAAAAAn", "DDDDDDDDDDDDe", "CCCCCCCCCCx", 
    "CCCCCCCCCCx", "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "AAAAAAAAAAAAAn", 
    "DDDDDDDDDDDDe", "CCCCCCCCCCx", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "DDDDDDDDDDDDe", 
    "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "CCCCCCCCCCx", 
    "CCCCCCCCCCx", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "CCCCCCCCCCx", "DDDDDDDDDDDDe", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "DDDDDDDDDDDDe", 
    "CCCCCCCCCCx", "DDDDDDDDDDDDe", "CCCCCCCCCCx", "DDDDDDDDDDDDe", 
    "CCCCCCCCCCx", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", 
    "CCCCCCCCCCx", "LLLLLLLLLLLLLn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "LLLLLLLLLLLLLn", 
    "LLLLLLLLLLLLLn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "LLLLLLLLLLLLLn", 
    "AAAAAAAAAAAAAn", "CCCCCCCCCCx", "CCCCCCCCCCx", "CCCCCCCCCCx", 
    "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "CCCCCCCCCCx", 
    "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "CCCCCCCCCCx", "CCCCCCCCCCx", "LLLLLLLLLLLLLn", "AAAAAAAAAAAAAn", 
    "CCCCCCCCCCx", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", "AAAAAAAAAAAAAn", 
    "AAAAAAAAAAAAAn", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", 
    "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLo", "NNNNNNNNNNNr", 
    "NNNNNNNNNNNr", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", "NNNNNNNNNNNr", 
    "NNNNNNNNNNNr", "NNNNNNNNNNNr", "NNNNNNNNNNNr", "NNNNNNNNNNNr", 
    "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", "NNNNNNNNNNNr", "LLLLLLLLLLLLLo", 
    "NNNNNNNNNNNr", "NNNNNNNNNNNr", "NNNNNNNNNNNr", "NNNNNNNNNNNr", 
    "NNNNNNNNNNNr", "LLLLLLLLLLLLLn", "LLLLLLLLLLLLLn", "NNNNNNNNNNNr", 
    "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLn", 
    "LLLLLLLLLLLLLo", "NNNNNNNNNNNr", "NNNNNNNNNNNr", "LLLLLLLLLLLLLn", 
    "LLLLLLLLLLLLLn", "NNNNNNNNNNNr", "LLLLLLLLLLLLLn", "NNNNNNNNNNNr", 
    "NNNNNNNNNNNr", "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", "CCCCCCCCCCx", 
    "LLLLLLLLLLLLLo", "DDDDDDDDDDDDe", "CCCCCCCCCCx", "LLLLLLLLLLLLLo", 
    "LLLLLLLLLLLLLo", "LLLLLLLLLLLLLo", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "CCCCCCCCCCx", "DDDDDDDDDDDDe", "CCCCCCCCCCx", 
    "CCCCCCCCCCx", "CCCCCCCCCCx", "CCCCCCCCCCx", "DDDDDDDDDDDDe", 
    "CCCCCCCCCCx", "CCCCCCCCCCx", "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "DDDDDDDDDDDDe", "LLLLLLLLLLLLLo", "DDDDDDDDDDDDe", 
    "DDDDDDDDDDDDe", "CCCCCCCCCCx", "CCCCCCCCCCx", "AAAAAAAAAAo", 
    "AAAAAAAAAAo", "AAAAAAAAAAo", "AAAAAAAAAAo", "AAAAAAAAAAo", 
    "AAAAAAAAAAo", "CCCCCCCCCCx", "CCCCCCCCCCCCCCx", "AAAAAAAAAAo", 
    "AAAAAAAAAAo", "AAAAAAAAAAo", "AAAAAAAAAAo", "AAAAAAAAAAo", 
    "AAAAAAAAAAo", "CCCCCCCCCCCCCCx", "AAAAAAAAAAo", "CCCCCCCCCCCCCCx", 
    "SSSSSSSSSSd", "SSSSSSSSSSd", "GGGGGGGGGGGGGi", "SSSSSSSSSSd", 
    "SSSSSSSSSSd", "AAAAAAAAAAo", "SSSSSSSSSSd", "SSSSSSSSSSd", 
    "AAAAAAAAAAo", "SSSSSSSSSSd", "AAAAAAAAAAo", "SSSSSSSSSSd", 
    "SSSSSSSSSSd", "SSSSSSSSSSd", "AAAAAAAAAAo", "SSSSSSSSSSd", 
    "GGGGGGGGGGGGGi", "GGGGGGGGGGGGGi", "GGGGGGGGGGGGGi", "GGGGGGGGGGGGGi", 
    "GGGGGGGGGGGGGi", "GGGGGGGGGGGGGi", "SSSSSSSSSSd", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "JJJJJJJJJJJJy", "JJJJJJJJJJJJy", "JJJJJJJJJJJJy", "JJJJJJJJJJJJJJJJJJd", 
    "JJJJJJJJJJJJJJJJJJd", "JJJJJJJJJJJJJJJJJJd", "JJJJJJJJJJJJy", 
    "JJJJJJJJJJJJJJJJJJd", "JJJJJJJJJJJJy", "JJJJJJJJJJJJy", 
    "LLLLLLLLLLn", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", "OOOOOOOOOOOOm", "OOOOOOOOOOOOm", 
    "LLLLLLLLLLn", "CCCCCCCCCCCCd", "OOOOOOOOOOOOm", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "LLLLLLLLLLn", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "LLLLLLLLLLn", "LLLLLLLLLLn", "LLLLLLLLLLn", 
    "OOOOOOOOOOOOm", "CCCCCCCCCCCCd", "LLLLLLLLLLn", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "OOOOOOOOOOOOm", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", 
    "CCCCCCCCCCCCd", "CCCCCCCCCCCCd", "LLLLLLLLLLn", "LLLLLLLLLLn", 
    "LLLLLLLLLLn", "LLLLLLLLLLn", "OOOOOOOOOOOOm", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", "LLLLLLLLLLLLLLLLLLLl", 
    "LLLLLLLLLLLLLLLLLLLl", "AAAAAAAAAAo")), row.names = c(NA, 
-332L), class = c("tbl_df", "tbl", "data.frame"))
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