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path_viz_3.R
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path_viz_3.R
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#Transitions
library(vcd)
#STATUS at WAVE2 for WAVE1 CURRENT Established Cigarette Smokers
adult_panel %>%
mutate(current_est_smoker_w1 =
if_else(current_est_smoker_w1== 1, 'Yes', 'No'),
current_est_smoker_w1 = factor(current_est_smoker_w1,
levels = c('Yes', 'No'))) %>%
select(current_est_smoker_w1, smoking_status_w2) %>%
table
#STATUS at WAVE2 for WAVE1 FORMER Established Cigarette Smokers
adult_panel %>%
mutate(former_est_smoker_w1 =
if_else(smoking_status_w1== 'former_est_smoker', 'Yes', 'No'),
former_est_smoker_w1 = factor(former_est_smoker_w1,
levels = c('Yes', 'No'))) %>%
select(former_est_smoker_w1, smoking_status_w2) %>%
table
#STATUS at Wave 2 for Wave 1 NEVER Smokers
adult_panel %>%
mutate(never_smoker_w1 =
if_else(smoking_status_w1== 'never_smoker', 'Yes', 'No'),
never_smoker_w1 = factor(never_smoker_w1,
levels = c('Yes', 'No'))) %>%
select(never_smoker_w1, smoking_status_w2) %>%
table
#### Graphics ####
#Barplot Transitions: Wave 1 Established Smokers
transition_current_est_smokers <- adult_panel %>%
mutate(current_est_smoker_w1 =
if_else(smoking_status_w1== 'est_smoker', 'Yes', 'No'),
current_est_smoker_w1 = factor(current_est_smoker_w1,
levels = c('Yes', 'No'))) %>%
group_by(current_est_smoker_w1, smoking_status_w2) %>%
count %>%
drop_na %>%
as.data.frame %>%
rbind(data.frame(current_est_smoker_w1 = 'Yes',
smoking_status_w2 = 'never_smoker',
n = 0))
transition_current_est_smokers %>%
ggplot(aes(x= current_est_smoker_w1, y = n, fill = smoking_status_w2)) +
geom_col(position = position_dodge())
#Barplot Transitions: Wave 1 Former Established Smokers
transition_former_est_smokers <- adult_panel %>%
mutate(former_est_smoker_w1 =
if_else(smoking_status_w1== 'former_est_smoker', 'Yes', 'No'),
former_est_smoker_w1 = factor(former_est_smoker_w1,
levels = c('Yes', 'No'))) %>%
group_by(former_est_smoker_w1, smoking_status_w2) %>%
count %>%
drop_na %>%
as.data.frame %>%
rbind(data.frame(former_est_smoker_w1 = 'Yes',
smoking_status_w2 = 'never_smoker',
n = 0))
transition_former_est_smokers %>%
ggplot(aes(x= former_est_smoker_w1, y = n, fill = smoking_status_w2)) +
geom_col(position = position_dodge())
#Barplot Transitions: Wave 1 NEVER Smokers
transition_never_smokers <- adult_panel %>%
mutate(never_smoker_w1 =
if_else(smoking_status_w1== 'never_smoker', 'Yes', 'No'),
never_smoker_w1 = factor(never_smoker_w1,
levels = c('Yes', 'No'))) %>%
group_by(never_smoker_w1, smoking_status_w2) %>%
count %>%
drop_na %>%
as.data.frame %>%
rbind(data.frame(never_smoker_w1= 'No',
smoking_status_w2 = 'never_smoker',
n = 0))
transition_never_smokers %>%
ggplot(aes(x= never_smoker_w1, y = n, fill = smoking_status_w2)) +
geom_col(position = position_dodge())
#### Plot by Transition Category ####
adult_panel %>%
group_by(smoking_status_w1, smoking_status_w2) %>%
count %>%
drop_na %>%
as.data.frame %>%
rbind(data.frame( smoking_status_w1 = 'est_smoker',
smoking_status_w2 = 'never_smoker',
n = 0)) %>%
rbind(data.frame( smoking_status_w1 = 'former_est_smoker',
smoking_status_w2 = 'never_smoker',
n = 0)) %>%
mutate(smoking_status_w1 = factor(smoking_status_w1,
levels = c('never_smoker',
'former_est_smoker',
'est_smoker')),
smoking_status_w2 = factor(smoking_status_w2,
levels = c('never_smoker',
'former_est_smoker',
'est_smoker'))) %>%
arrange(smoking_status_w1, smoking_status_w2) %>%
ggplot(aes(x=smoking_status_w1, y = n, fill = smoking_status_w2)) +
geom_col(position = position_fill())
#### Mosaic Plots ####
#Mosaic Plot
adult_panel %>%
mutate(current_est_smoker_w1 =
if_else(smoking_status_w1== 'est_smoker', 'Yes', 'No'),
current_est_smoker_w1 = factor(current_est_smoker_w1,
levels = c('Yes', 'No'))) %>%
select(current_est_smoker_w1, smoking_status_w2) %>%
table %>%
mosaic()
#Mosaic Plot
adult_panel %>%
mutate(never_smoker_w1 =
if_else(smoking_status_w1== 'never_smoker', 'Yes', 'No'),
never_smoker_w1 = factor(never_smoker_w1,
levels = c('Yes', 'No'))) %>%
select(never_smoker_w1, smoking_status_w2) %>%
mosaicplot