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February 6, 2017 20:23
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Bottom 3 at Christmas Survive
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### Have bottom 3 at Christmas all survived? | |
library(engsoccerdata) | |
library(tidyverse) | |
df <- rbind(england, england_current()) %>% filter(tier==1) | |
df.seasons <- split(df, df$Season) | |
df.tables <- lapply(df.seasons, function(x) maketable_eng(x, tier=1, Season = x[1,2])) | |
df.tables <- Map(cbind, df.tables, Season=unique(df$Season)) | |
lubridate::yday("2015-12-25") #359 | |
lubridate::yday("2016-12-25") #360 | |
lubridate::yday("2016-07-01") #183 | |
# work out day of year | |
df$yday <- ifelse(lubridate::leap_year(df$Date), lubridate::yday(df$Date), lubridate::yday(df$Date)-1) | |
dfxmas <- df %>% group_by(Season) %>% filter(yday>183 & yday<=359) | |
dfxmas.seasons <- split(dfxmas, dfxmas$Season) | |
#doing as loop rather than lapply - as something funny about my function maketable that I need to fix with dates | |
dfxmas.tables=NULL | |
for(i in 1:length(unique(df$Season))){ | |
dfxmas.tables[[i]]<- maketable_eng(dfxmas.seasons[[i]],tier=1, Season=unique(df$Season)[i]) | |
} | |
dfxmas.tables <- Map(cbind, dfxmas.tables, Season=unique(dfxmas$Season)) | |
dfxmas.tables.x <- do.call('rbind', dfxmas.tables) %>% | |
group_by(Season) %>% | |
mutate(Posxmas = as.numeric(Pos), | |
numteams = max(Posxmas)) %>% | |
mutate(bottom3xmas = ifelse(Posxmas>=(max(Posxmas)-2),T,F)) | |
df.tables.x <- do.call('rbind', df.tables) %>% | |
group_by(Season) %>% | |
mutate(Pos = as.numeric(Pos), | |
numteams = max(Pos)) %>% | |
mutate(bottom3 = ifelse(Pos>=(max(Pos)-2),T,F)) | |
head(dfxmas.tables.x) | |
head(df.tables.x) | |
df.tables.x %>% select(team, Season,numteams, bottom3, Pos) %>% | |
full_join( | |
dfxmas.tables.x %>% select(team, Season,numteams, bottom3xmas, Posxmas) | |
) -> df.all | |
head(df.all,12) | |
df.all %>% | |
group_by(Season,team) %>% | |
mutate(didnt_escape = sum(bottom3+bottom3xmas)) %>% | |
group_by(Season) %>% | |
summarise(didnt_escape_total = sum(didnt_escape==2)) %>% | |
filter(didnt_escape_total==0) | |
#1937,1982,1986 | |
which(unique(df$Season) %in% c(1937,1982,1986)) #[1] 46 84 88 | |
dfxmas.tables[[46]] #Everton, Blackpool, Portsmouth | |
df.tables[[46]] #Grimsby, Man City, West Brom (only 2 relegated) | |
dfxmas.tables[[84]] #Sunderland, Norwich, Birmingham | |
df.tables[[84]] #Man City, Swansea, Brighton | |
dfxmas.tables[[88]] # Newcastle, Charlton, Chelsea | |
df.tables[[88]] #Leicester, Man City, Villa |
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