Nothing
#' Collects relay swimmers as a data frame within \code{swim_parse_old}
#'
#' Depreciated version associated with depreciated version of \code{swim_parse_old}
#'
#' @importFrom dplyr mutate
#' @importFrom dplyr rename
#' @importFrom dplyr bind_rows
#' @importFrom stringr str_remove_all
#' @importFrom stringr str_extract_all
#' @importFrom stringr str_split
#' @importFrom stringr str_detect
#' @importFrom purrr map_lgl
#' @importFrom purrr map
#' @importFrom stats setNames
#'
#' @param x output from \code{read_results} followed by \code{add_row_numbers}
#' @param typo_2 list of typos from \code{swim_parse}
#' @param replacement_2 list of replacements for typos from \code{swim_parse}
#' @return returns a data frame of relay swimmers and the associated performance row number
#'
#' @seealso \code{collect_relay_swimmers} runs inside of \code{swim_parse}
#'
collect_relay_swimmers_old <- function(x, typo_2 = typo, replacement_2 = replacement){
# x <- read_results("http://www.nyhsswim.com/Results/Boys/2008/NYS/Single.htm")
#
# x <- read_results(system.file("extdata", "Texas-Florida-Indiana.pdf", package = "SwimmeR"))
# x <- add_row_numbers(x)
relay_swimmer_string <- "\n\\s*[1-4]\\)"
row_numbs_relay_swimmer <- x %>%
.[purrr::map_lgl(.,
stringr::str_detect,
relay_swimmer_string)] %>%
stringr::str_extract_all("\\d{1,}$")
if (length(row_numbs_relay_swimmer) > 0) {
minimum_row <- min(as.numeric(row_numbs_relay_swimmer))
suppressWarnings(
data_1_relay_swimmer <- x %>%
.[purrr::map_lgl(.,
stringr::str_detect,
relay_swimmer_string)] %>%
stringr::str_remove_all("\n") %>%
stringr::str_replace_all(stats::setNames(replacement_2, typo_2)) %>%
stringr::str_remove_all("\\)") %>%
stringr::str_remove_all("[A-Z]\\d{1,3}") %>% # for M25 designations in masters - Male 25
stringr::str_remove_all("r\\:\\+?\\-?\\d?\\.\\d\\d") %>% # for reaction pad outputs
stringr::str_remove_all("r\\:NRT") %>% # for reaction time fail to register
stringr::str_remove_all("\\d+") %>% # all digits
stringr::str_remove_all("r\\:\\+?\\-?\\.") %>%
stringr::str_remove_all(" SR| JR| SO| FR") %>% # grade designators
trimws()
)
data_1_relay_swimmer <- paste(row_numbs_relay_swimmer, data_1_relay_swimmer, sep = " ")
data_1_relay_swimmer <-
unlist(purrr::map(data_1_relay_swimmer, stringr::str_split, "\\s{2,}"),
recursive = FALSE)
data_length_5_relay_swimmer <- data_1_relay_swimmer[purrr::map(data_1_relay_swimmer, length) == 5] # all four swimmers on one line
data_length_4_relay_swimmer <- data_1_relay_swimmer[purrr::map(data_1_relay_swimmer, length) == 4] # all four swimmers on one line but one is missing
data_length_3_relay_swimmer <- data_1_relay_swimmer[purrr::map(data_1_relay_swimmer, length) == 3] # for two-line relays, two swimmers per line
data_length_2_relay_swimmer <- data_1_relay_swimmer[purrr::map(data_1_relay_swimmer, length) == 2] # for two-line relays, two swimmers per line, but one is missing
if (length(data_length_5_relay_swimmer) > 0) {
# splits from 100M relay legs
df_5_relay_swimmer <- data_length_5_relay_swimmer %>%
list_transform()
} else {
df_5_relay_swimmer <- data.frame(Row_Numb = character(),
stringsAsFactors = FALSE)
}
if (length(data_length_4_relay_swimmer) > 0) {
df_4_relay_swimmer <- data_length_4_relay_swimmer %>%
list_transform()
} else {
df_4_relay_swimmer <- data.frame(Row_Numb = character(),
stringsAsFactors = FALSE)
}
if (length(data_length_3_relay_swimmer) > 0) {
df_3_relay_swimmer <- data_length_3_relay_swimmer %>%
list_transform()
} else {
df_3_relay_swimmer <- data.frame(Row_Numb = character(),
stringsAsFactors = FALSE)
}
if (length(data_length_2_relay_swimmer) > 0) {
df_2_relay_swimmer <- data_length_2_relay_swimmer %>%
list_transform()
} else {
df_2_relay_swimmer <- data.frame(Row_Numb = character(),
stringsAsFactors = FALSE)
}
#### bind up results ####
# results are bound before going to lines_sort so that in cases where there are multiple rows with splits for the same race,
# like in results where relays swimmers are reported on two lines, the results can be collected together
relay_swimmers <-
dplyr::bind_rows(df_5_relay_swimmer, df_4_relay_swimmer, df_3_relay_swimmer, df_2_relay_swimmer) %>%
lines_sort(min_row = minimum_row) %>%
dplyr::mutate(Row_Numb = as.numeric(Row_Numb) - 1) %>% # make row number of relay match row number of performance
dplyr::rename(
"Relay_Swimmer_1" = V2,
"Relay_Swimmer_2" = V3,
"Relay_Swimmer_3" = V4,
"Relay_Swimmer_4" = V5
)
} else {
relay_swimmers <- data.frame(Row_Numb = as.numeric())
}
return(relay_swimmers)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.