Nothing
freq_table2 <- function(data, name) UseMethod("freq_table2")
freq_table2.default <- function(data, name) {
var_name <- name
dat <-
data %>%
dplyr::select(name) %>%
dplyr::pull(1) %>%
stats::na.omit()
if (!is.factor(dat)) {
stop("data must be categorical/qualitative")
}
cq <-
dat %>%
sort() %>%
unique()
result <-
dat %>%
table() %>%
as.vector()
level_names <- levels(dat)
data_len <- length(dat)
len <- length(result)
cum <- cumsum(result)
per <- percent(result, data_len)
cum_per <- percent(cum, data_len)
ftable <- tibble::tibble(
Levels = level_names,
Frequency = result,
`Cum Frequency` = cum,
Percent = per,
`Cum Percent` = cum_per
)
na_count <-
data %>%
dplyr::pull(name) %>%
is.na() %>%
sum()
n_obs <-
data %>%
dplyr::pull(name) %>%
length()
if (na_count > 0) {
na_data <- dplyr::pull(data, !! varyable)
var_count <-
na_data %>%
table() %>%
as.vector() %>%
sum()
na_freq <- n_obs - var_count
} else {
na_freq <- 0
}
result <- list(
ftable = ftable,
varname = var_name,
na_count = na_freq,
n = n_obs
)
class(result) <- "freq_table2"
return(result)
}
print.freq_table2 <- function(x, ...) {
print_ftable2(x)
}
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