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068_Marking_on_adjective_in_adjectival_predication_“be_X”.qmd
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068_Marking_on_adjective_in_adjectival_predication_“be_X”.qmd
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---
title: Marking on adjective in adjectival predication “be X”
author: Ilya Sadakov
date: 'Last update: `r lubridate::make_datetime(year = 2024, month = 1, day = 11)`'
output:
html_document:
number_sections: true
anchor_sections: true
pandoc_args: --shift-heading-level-by=-1
---
```{r, include=FALSE}
knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning=FALSE, fig.width = 9.5)
library(tidyverse)
library(lingtypology)
read_csv('data/database.csv', show_col_types = FALSE) |>
filter(feature_id == 68) ->
db
read_csv('data/villages.csv') |>
filter(!(village %in% c('Kazankulak', 'Novyy Borch', 'Vrush', 'Aran', 'Khnyukh'))) ->
villages
villages |>
filter(!(village %in% c('Tsudik', 'Borch'))) ->
villages4map
```
The map shows the marking on the adjective in adjectival predication ‘X is ADJ’, including retaining of the attributive suffix (the value ATTR), a dedicated suffix (its form is given in the value) or absence of marking altogether (the value UNMARKED). Retaining of the attributive suffix is attested everywhere, thus the value ATTR is given only when no other strategy was observed.
## ‘The apple is red’
::: {.panel-tabset}
### Map
```{r}
db |>
filter(feature_lexeme == '‘The apple is red’') |>
filter(!is.na(value),
value != 'NO DATA') |>
mutate(value = str_split(value, ' ; ')) |>
unnest_longer(value) |>
distinct(settlement, value) |>
mutate(n = 1) |>
pivot_wider(names_from = value, values_from = n, values_fill = 0) |>
left_join(villages[,c('village', 'lat', 'lon')], c('settlement' = 'village')) |>
mutate(language = 'Rutul') ->
for_map
if(length(for_map) == 5){
map.feature(languages = 'Rutul',
latitude = villages4map$lat,
longitude = villages4map$lon,
label = villages4map$village,
label.position = 'top',
label.hide = FALSE,
width = 10,
color = 'gray',
tile = 'OpenStreetMap.HOT',
opacity = 0.4) |>
map.feature(languages = for_map$language,
latitude = for_map$lat,
longitude = for_map$lon,
label = for_map$settlement,
label.position = 'top',
label.hide = FALSE,
width = 10,
tile = 'OpenStreetMap.HOT',
features = colnames(for_map)[2],
pipe.data = _)
} else {
map.feature(languages = 'Rutul',
latitude = villages4map$lat,
longitude = villages4map$lon,
label = villages4map$village,
label.position = 'top',
label.hide = FALSE,
width = 10,
color = 'gray',
tile = 'OpenStreetMap.HOT',
opacity = 0.4) |>
map.feature(languages = for_map$language,
latitude = for_map$lat,
longitude = for_map$lon,
minichart.data = for_map |> select(-settlement, -lat, -lon, -language),
minichart = 'pie',
width = 3,
tile = 'OpenStreetMap.HOT',
pipe.data = _)
}
```
### Data
```{r}
db |>
filter(feature_lexeme == '‘The apple is red’') |>
select(settlement, value, stimuli, answer, collected) |>
DT::datatable(class = 'cell-border stripe',
rownames = FALSE,
filter = 'top',
extensions = 'Buttons',
options = list(pageLength = 42,
autoWidth = TRUE,
info = FALSE,
dom = 'fBltp',
buttons = list(list(extend = 'collection',
buttons = c('csv', 'excel', 'pdf'),
text = '<i class="fas fa-download"></i>')),
paginate = TRUE))
```
:::
## ‘The woman is good’
::: {.panel-tabset}
### Map
```{r}
db |>
filter(feature_lexeme == '‘The woman is good’') |>
filter(!is.na(value),
value != 'NO DATA') |>
mutate(value = str_split(value, ' ; ')) |>
unnest_longer(value) |>
distinct(settlement, value) |>
mutate(n = 1) |>
pivot_wider(names_from = value, values_from = n, values_fill = 0) |>
left_join(villages[,c('village', 'lat', 'lon')], c('settlement' = 'village')) |>
mutate(language = 'Rutul') ->
for_map
if(length(for_map) == 5){
map.feature(languages = 'Rutul',
latitude = villages4map$lat,
longitude = villages4map$lon,
label = villages4map$village,
label.position = 'top',
label.hide = FALSE,
width = 10,
color = 'gray',
tile = 'OpenStreetMap.HOT',
opacity = 0.4) |>
map.feature(languages = for_map$language,
latitude = for_map$lat,
longitude = for_map$lon,
label = for_map$settlement,
label.position = 'top',
label.hide = FALSE,
width = 10,
tile = 'OpenStreetMap.HOT',
features = colnames(for_map)[2],
pipe.data = _)
} else {
map.feature(languages = 'Rutul',
latitude = villages4map$lat,
longitude = villages4map$lon,
label = villages4map$village,
label.position = 'top',
label.hide = FALSE,
width = 10,
color = 'gray',
tile = 'OpenStreetMap.HOT',
opacity = 0.4) |>
map.feature(languages = for_map$language,
latitude = for_map$lat,
longitude = for_map$lon,
minichart.data = for_map |> select(-settlement, -lat, -lon, -language),
minichart = 'pie',
width = 3,
tile = 'OpenStreetMap.HOT',
pipe.data = _)
}
```
### Data
```{r}
db |>
filter(feature_lexeme == '‘The woman is good’') |>
select(settlement, value, stimuli, answer, collected) |>
DT::datatable(class = 'cell-border stripe',
rownames = FALSE,
filter = 'top',
extensions = 'Buttons',
options = list(pageLength = 42,
autoWidth = TRUE,
info = FALSE,
dom = 'fBltp',
buttons = list(list(extend = 'collection',
buttons = c('csv', 'excel', 'pdf'),
text = '<i class="fas fa-download"></i>')),
paginate = TRUE))
```
:::