/varia_guine_bissau

Materais suplementares da tese: Variação interna em Kriol (crioulo da Guiné-Bissau): fonologia e aspetos sociolinguísticos por Ronaldo Mendes (2023)

GNU General Public License v3.0GPL-3.0

Supplementary materials for: Internal variation in Guinea-Bissau Kriyol: phonological and sociolinguistic aspects

Ronaldo Mendes and Carlos Silva (28 novembro, 2023)

#Packages

library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.2     ✔ readr     2.1.4
## ✔ forcats   1.0.0     ✔ stringr   1.5.0
## ✔ ggplot2   3.4.2     ✔ tibble    3.2.1
## ✔ lubridate 1.9.2     ✔ tidyr     1.3.0
## ✔ purrr     1.0.1     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

1 Data

df <- read.csv("GuineaBissau_Ronaldo_full.csv")

2 Onset

2.1 v_b

ggplot(df, aes(x = place_simple, y = v_b, 
                             fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = v_b, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = v_b, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = v_b, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

2.2 z_s

ggplot(df, aes(x = place_simple, y = z_s, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = z_s, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = z_s, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = z_s, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

2.3 ʒ_dʒ

ggplot(df, aes(x = place_simple, y = palfricvoz_palafrvoz, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = palfricvoz_palafrvoz, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = palfricvoz_palafrvoz, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = palfricvoz_palafrvoz, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

2.4 ʃ_tʃ

ggplot(df, aes(x = place_simple, y = palfricsur_palafrsur, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = palfricsur_palafrsur, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = palfricsur_palafrsur, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = palfricsur_palafrsur, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

2.5 λ_dʒ

ggplot(df, aes(x = place_simple, y = pallat_palafrvoz, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = pallat_palafrvoz, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = pallat_palafrvoz, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = pallat_palafrvoz, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

3 Coda

3.1 ʒ_s

ggplot(df, aes(x = place_simple, y = palfricvoz_s, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = palfricvoz_s, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = palfricvoz_s, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = palfricvoz_s, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

3.2 ʒ_Ø

ggplot(df, aes(x = place_simple, y = palfricvoz_zero, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = palfricvoz_zero, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = palfricvoz_zero, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = palfricvoz_zero, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

3.3 ʃ_s

ggplot(df, aes(x = place_simple, y = palfricsur_s, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = school, y = palfricsur_s, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = palfricsur_s, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = palfricsur_s, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

4 Global results (Onset + coda)

ggplot(df, aes(x = school, y = global, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = place_simple, y = global, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = sex, y = global, 
               fill = sex)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Sex")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = variant, y = global, 
               fill = variant)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Variant")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = global, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = kryol_acquisition, y = global, 
               fill = kryol_acquisition)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = global, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

ggplot(df, aes(x = age, y = global, label = ID, color=sex)) +
 geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

5 Partial results (onset only)

ggplot(df, aes(x = school, y = partial, 
               fill = school)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Degree of school")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = place_simple, y = partial, 
               fill = place_simple)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = sex, y = partial, 
               fill = sex)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Sex")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = variant, y = partial, 
               fill = variant)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Variant")
## `geom_smooth()` using formula = 'y ~ x'
## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = mother_tongue, y = partial, 
               fill = mother_tongue)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Mother tongue")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.
## Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = kryol_acquisition, y = partial, 
               fill = kryol_acquisition)) +
  geom_smooth(method = "lm") +
  geom_violin() +
  geom_dotplot(binaxis = "y",
               stackdir = "center",
               dotsize = 0.5)  +
  theme(legend.position="none") +
  labs(y = "Kryol faithfulnes score", x = "Region")
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Groups with fewer than two data points have been dropped.

## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.

ggplot(df, aes(x = age, y = partial, label = ID)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?

ggplot(df, aes(x = age, y = partial, label = ID, color=sex)) +
  geom_smooth(method = "lm") +
  geom_point()  +
  geom_text(aes(label=ID), hjust=3, vjust=0)
## `geom_smooth()` using formula = 'y ~ x'

## Warning: The following aesthetics were dropped during statistical transformation: label
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
##   the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
##   variable into a factor?