# Michael D Garrett. Dissertation / Res phase work focus codings
#
# Create the study session, group, and participant data tables from the raw
# Excel files
#
## Load packages -------------------------
library(dplyr) # dplyr
library(readxl) # read_excel
library(purrr) # map
study_tables <- file.path(".", "data-raw", "study_tables.xlsx")
## Session table -------------------------
session_tbl <-
read_excel(study_tables, sheet = "session_table") %>%
mutate(
round = factor(round, ordered = TRUE),
gid = factor(gid, ordered = TRUE)
)
glimpse(session_tbl)
## Group table -------------------------
group_tbl <-
read_excel(study_tables, sheet = "group_table") %>%
mutate(
gid = factor(gid, ordered = TRUE)
) %>%
rename(group_name = name)
glimpse(group_tbl)
## Participant table -------------------------
participant_tbl <-
read_excel(study_tables, sheet = "participant_table") %>%
mutate(
pid = factor(pid, ordered = TRUE),
gid = factor(gid, ordered = TRUE)
)
glimpse(participant_tbl)
# all member-specific data into one table
member_tbl <- full_join(group_tbl, participant_tbl, by = "gid")
## Code tables -------------------------
code_tbl_list <-
read_excel(study_tables, sheet = "code_table") %>%
mutate(
type = factor(type, ordered = TRUE),
order = as.integer(order)
) %>%
# separate code descriptions by type
split(.$type) %>%
# will need as factors for plotting. Put in semantic order, not alphabetical
map(~ mutate(.x, code = factor(code, code[order], ordered = TRUE)))
glimpse(code_tbl_list)
## Coder table -------------------------
coder_tbl <-
read_excel(study_tables, sheet = "coder_table") %>%
mutate(
cid = factor(cid, ordered = TRUE)
)
## Save as list of all tables as package data -------------------------
study <- c(list(sessions = session_tbl,
members = member_tbl,
coders = coder_tbl),
code_tbl_list)
devtools::use_data(study, overwrite = TRUE)
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