Extra Datasets

extra datasets

atus

atus_2020

extra_data('atus_2020')

cdc_2019

extra_data('cdc_2019')

colors_ids

extra_data('colors_ids')

#If you'd like to merge this dataset with your class, follow these steps:
#Create a subset colors_class of your class data without the variables
# of latitude and longitude
#This assumes your class data is named p6_colors

colors_class <- subset(p6_colors, select = -c(latitude, longitude))
#bring in colors_ids dataset from IDS archive
extra_data('colors_ids')

#row bind the 2 datasets together
colors_full <- rbind(colors_class, colors_ids)

food_ids

extra_data('food_ids')

#If you'd like to merge this dataset with your class, follow these steps:

food_class <- subset(p6_food, select = -c(latitude, longitude))
extra_data('food_ids')
food_full <- rbind(food_class, food_ids)

hiring

extra_data('hiring')

retail

extra_data('retail')

stresschill_ids

extra_data('stresschill_ids')

#If you'd like to merge this dataset with your class, follow these steps:

stresschill_class <- subset(p6_stress, select = -c(latitude, longitude))
extra_data('stresschill_ids')
stresschill_full <- rbind(stresschill_class, stresschill_ids)

time_exp

extra_data('time_exp')

#If you'd like to merge this dataset with your class, follow these steps:

time_class <- subset(p6_time, select = -c(latitude, longitude))
extra_data('time_exp')
time_full <- rbind(time_class, time_exp)

timeuse_ids

extra_data('timeuse_ids')

#If you'd like to merge this dataset with your class, follow these steps:

timeuse_class <- subset(p6_timeuse, select = -c(latitude, longitude))
extra_data('timeuse_ids')
timeuse_full <- rbind(timeuse_class, timeuse_ids)