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069_Marking_on_adjective_in_adjectival_predication_“become_X”.qmd
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---
title: Marking on adjective in adjectival predication “become 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$set(echo = FALSE, message = FALSE, warning=FALSE, fig.width = 9.5)
library(tidyverse)
library(lingtypology)
read_csv('data/database.csv', show_col_types = FALSE) |>
filter(feature_id == 69) ->
db
read_csv('data/villages.csv') |>
filter(!(village %in% c('Kazankulak', 'Novyy Borch', 'Vrush', 'Aran', 'Khnyukh'))) ->
villages
villages |>
filter(!(village %in% c('Tsudik', 'Borch'))) ->
villages4map
```
The map shows the marking on the adjective in adjectival predication ‘X becomes ADJ’, including retaining of the attributive suffix (the value ATTR), a dedicated suffix (its form is given in the value) or absence of marking altogether (the value UNMARKED). Retaining of the attributive suffix is attested everywhere, thus the value ATTR is given only when no other strategy was observed.
## ‘The apple became red’
::: {.panel-tabset}
### Map
```{r}
db |>
filter(feature_lexeme == '‘The apple became red’') |>
filter(!is.na(value),
value != 'NO DATA') |>
mutate(value = str_split(value, ' ; ')) |>
unnest_longer(value) |>
distinct(settlement, value) |>
mutate(n = 1) |>
pivot_wider(names_from = value, values_from = n, values_fill = 0) |>
left_join(villages[,c('village', 'lat', 'lon')], c('settlement' = 'village')) |>
mutate(language = 'Rutul') ->
for_map
if(length(for_map) == 5){
map.feature(languages = 'Rutul',
latitude = villages4map$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 became 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 became good’
::: {.panel-tabset}
### Map
```{r}
db |>
filter(feature_lexeme == '‘The woman became 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 became 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))
```
:::