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statsapp_legacy.R
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library(RCurl)
library(XML)
library(xml2)
library(chron)
library(xts)
library(tidyverse)
library(dygraphs)
library(shiny)
library(shinydashboard)
library(DT)
library(shinyjs)
ui <- dashboardPage(
dashboardHeader(title = "LMB StatsApp"),
dashboardSidebar(
sidebarMenu(
menuItem("Standings", tabName = "Standings", icon = icon("th-list")),
menuItem("Teams charts", tabName = "Pyth", icon = icon("stats", lib="glyphicon")),
menuItem("Att and time", tabName = "Att", icon = icon("time", lib = "glyphicon")),
menuItem("Batting Leaders", tabName = "bat", icon = icon("stats", lib = "glyphicon")),
menuItem("Pitching Leaders", tabName = "pit", icon = icon("stats", lib = "glyphicon")),
menuItem("Team batting", tabName = "tb", icon = icon("stats", lib = "glyphicon")),
menuItem("Team pitching", tabName = "tp", icon = icon("stats", lib = "glyphicon"))
)
),
dashboardBody(
tabItems(
tabItem(tabName = "Index",
box(
width = 12,
h2("Bienvenidos"),
h3("lmb statsapp")
),
tags$footer(paste0("Última actualización: ",Sys.time()))
),
tabItem(tabName = "Standings",
tabBox(title = "Standings",
width = 12,
tabPanel("Standing Norte",
dataTableOutput("stan_nte")
),
tabPanel("Standing Sur",
dataTableOutput("stan_sur")
),
#tabPanel("Gráfica general",
# dygraphOutput("standings")
#),
tabPanel("Gráfica Zona Norte",
dygraphOutput("norte")
),
tabPanel("Gráfica Zona Sur",
dygraphOutput("sur")
)
)
),
tabItem(tabName = "Pyth",
h4("WL PCT evolution"),
p(""),
tabBox(
width = 12,
tabPanel("AGS",
dygraphOutput("ags")),
tabPanel("CAM",
dygraphOutput("cam")),
tabPanel("DUR",
dygraphOutput("dur")),
tabPanel("LEO",
dygraphOutput("leo")),
tabPanel("MTY",
dygraphOutput("mty")),
tabPanel("MVA",
dygraphOutput("mva")),
tabPanel("MEX",
dygraphOutput("mex")),
tabPanel("OAX",
dygraphOutput("oax")),
tabPanel("PUE",
dygraphOutput("pue")),
tabPanel("QUI",
dygraphOutput("qui")),
tabPanel("SAL",
dygraphOutput("sal")),
tabPanel("TAB",
dygraphOutput("tab")),
tabPanel("TIJ",
dygraphOutput("tij")),
tabPanel("LAG",
dygraphOutput("lag")),
tabPanel("LAR",
dygraphOutput("lar")),
tabPanel("YUC",
dygraphOutput("yuc"))
)
),
tabItem(tabName = "Att",
h4("Promedio de asistencia y duración de juegos"),
p(""),
tabBox(
width = 12,
tabPanel("Time",
dygraphOutput("time")),
tabPanel("Attendance",
dygraphOutput("att"))
)
),
tabItem(tabName = "bat",
tabBox(
width = 12,
tabPanel("Batting",
dataTableOutput("bat")),
tabPanel("Advanced",
dataTableOutput("bat2"))
)),
tabItem(tabName = "pit",
tabBox(
width = 12,
tabPanel("Standard",
dataTableOutput("pit")),
tabPanel("Advanced",
dataTableOutput("pit2"))
)),
tabItem(tabName = "tb",
tabBox(
width = 12,
tabPanel("Batting",
dataTableOutput("tb")),
tabPanel("Advanced",
dataTableOutput("tb2"))
)),
tabItem(tabName = "tp",
tabBox(
width = 12,
tabPanel("Standard",
dataTableOutput("tp")),
tabPanel("Advanced",
dataTableOutput("tp2"))
)
)
)
)
)
server <- function(input, output) {
output$standings <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
lmb.ts <- xts(LMBts[,-1], order.by = as.Date(LMBts$DATE, "%Y-%m-%d"))
dygraph(lmb.ts, main = "2018 LMB standings", ylab = "Win/Loss percentage") %>%
dySeries("mxo", label = "Diablos Rojos") %>%
dySeries("leo", label = "Bravos") %>%
dySeries("lar", label = "Tecolotes") %>%
dySeries("vaq", label = "Vaqueros") %>%
dySeries("mty", label = "Sultanes") %>%
dySeries("mva", label = "Acereros") %>%
dySeries("yuc", label = "Leones") %>%
dySeries("cam", label = "Piratas") %>%
dySeries("tab", label = "Olmecas") %>%
dySeries("pue", label = "Pericos") %>%
dySeries("oax", label = "Guerreros") %>%
dySeries("qui", label = "Tigres") %>%
dySeries("slt", label = "Saraperos") %>%
dySeries("tij", label = "Toros") %>%
dySeries("dur", label = "Generales") %>%
dySeries("agu", label = "Rieleros") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors= c("#FF0000","#66CDAA","#FF0000","#8B0000","#00008B",
"#0000FF","#FF4500","#000080","#FFFF00","#008000",
"#000000","#00008B","#40E0D0","#000000","#800080",
"#FFFF00")) %>%
dyLimit(0.5, color = 'red') %>%
dyRangeSelector()
})
output$norte <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
norte <- c(1,2,3,4,6,7,10,11,14)
LMBts_nte <- LMBts[norte]
lmb.tsN <- xts(LMBts_nte[,2:9], order.by = as.Date(LMBts_nte$DATE, "%Y-%m-%d"))
dygraph(lmb.tsN, main = "2018 LMB standings", ylab = "Win/Loss percentage") %>%
dySeries("lar", label = "Tecolotes") %>%
dySeries("vaq", label = "Vaqueros") %>%
dySeries("mty", label = "Sultanes") %>%
dySeries("mva", label = "Acereros") %>%
dySeries("slt", label = "Saraperos") %>%
dySeries("tij", label = "Toros") %>%
dySeries("dur", label = "Generales") %>%
dySeries("agu", label = "Rieleros") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors= c("#FF0000","#8B0000","#00008B",
"#0000FF","#40E0D0","#000000","#800080",
"#FFFF00")) %>%
dyLimit(0.5, color = 'red') %>%
dyRangeSelector()
})
output$sur <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
sur <- c(1,5,8,9,12,13,15,16,17)
LMBts_sur <- LMBts[sur]
lmb.tsS <- xts(LMBts_sur[,2:9], order.by = as.Date(LMBts_sur$DATE, "%Y-%m-%d"))
dygraph(lmb.tsS, main = "2018 LMB standings", ylab = "Win/Loss percentage") %>%
dySeries("leo", label = "Bravos") %>%
dySeries("mxo", label = "Diablos Rojos") %>%
dySeries("yuc", label = "Leones") %>%
dySeries("cam", label = "Piratas") %>%
dySeries("tab", label = "Olmecas") %>%
dySeries("pue", label = "Pericos") %>%
dySeries("oax", label = "Guerreros") %>%
dySeries("qui", label = "Tigres") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors= c("#66CDAA","#FF0000","#FF4500","#000080","#FFFF00",
"#008000","#000000","#00008B")) %>%
dyLimit(0.5, color = 'red') %>%
dyRangeSelector()
})
output$ags <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
aguts <- rename(select(LMBts,DATE,agu),WL_AVG = agu, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
agu.ts <- xts(aguts$WL_AVG, order.by = as.Date(aguts$DATE, "%Y-%m-%d"))
dygraph(agu.ts, main = "2018 Rieleros Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#FFFF00') %>%
#dyLimit(lmb_exp$Pyth[10], color = 'red') %>%
dyRangeSelector()
})
output$cam <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
camts <- rename(select(LMBts,DATE,cam),WL_AVG = cam, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
cam.ts <- xts(camts$WL_AVG, order.by = as.Date(camts$DATE, "%Y-%m-%d"))
dygraph(cam.ts, main = "2017 Piratas Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#000080') %>%
#dyLimit(lmb_exp$Pyth[9], color = 'red') %>%
dyRangeSelector()
})
output$dur <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
durts <- rename(select(LMBts,DATE,dur),WL_AVG = dur, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
dur.ts <- xts(durts$WL_AVG, order.by = as.Date(durts$DATE, "%Y-%m-%d"))
dygraph(dur.ts, main = "2017 Generales Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#800080') %>%
#dyLimit(lmb_exp$Pyth[4], color = 'red') %>%
dyRangeSelector()
})
output$leo <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
leots <- rename(select(LMBts,DATE,leo),WL_AVG = leo, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
leo.ts <- xts(leots$WL_AVG, order.by = as.Date(leots$DATE, "%Y-%m-%d"))
dygraph(leo.ts, main = "2018 Bravos Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#66CDAA') %>%
#dyLimit(lmb_exp$Pyth[2], color = 'red') %>%
dyRangeSelector()
})
output$mty <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
mtyts <- rename(select(LMBts,DATE,mty),WL_AVG = mty, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
mty.ts <- xts(mtyts$WL_AVG, order.by = as.Date(mtyts$DATE, "%Y-%m-%d"))
dygraph(mty.ts, main = "2018 Sultanes Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#00008B') %>%
#dyLimit(lmb_exp$Pyth[13], color = 'red') %>%
dyRangeSelector()
})
output$mva <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
mvats <- rename(select(LMBts,DATE,mva),WL_AVG = mva, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
mva.ts <- xts(mvats$WL_AVG, order.by = as.Date(mvats$DATE, "%Y-%m-%d"))
dygraph(mva.ts, main = "2018 Acereros Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#0000FF') %>%
#dyLimit(lmb_exp$Pyth[1], color = 'red') %>%
dyRangeSelector()
})
output$mex <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
mxots <- rename(select(LMBts,DATE,mxo),WL_AVG = mxo, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
mxo.ts <- xts(mxots$WL_AVG, order.by = as.Date(mxots$DATE, "%Y-%m-%d"))
dygraph(mxo.ts, main = "2018 Diablos Rojos Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#FF0000') %>%
#dyLimit(lmb_exp$Pyth[3], color = 'red') %>%
dyRangeSelector()
})
output$oax <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
oaxts <- rename(select(LMBts,DATE,oax),WL_AVG = oax, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
oax.ts <- xts(oaxts$WL_AVG, order.by = as.Date(oaxts$DATE, "%Y-%m-%d"))
dygraph(oax.ts, main = "2018 Guerreros Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#000000') %>%
#dyLimit(lmb_exp$Pyth[5], color = 'red') %>%
dyRangeSelector()
})
output$pue <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
puets <- rename(select(LMBts,DATE,pue),WL_AVG = pue, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
pue.ts <- xts(puets$WL_AVG, order.by = as.Date(puets$DATE, "%Y-%m-%d"))
dygraph(pue.ts, main = "2018 Pericos Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#008000') %>%
#dyLimit(lmb_exp$Pyth[8], color = 'red') %>%
dyRangeSelector()
})
output$qui <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
quits <- rename(select(LMBts,DATE,qui),WL_AVG = qui, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
qui.ts <- xts(quits$WL_AVG, order.by = as.Date(quits$DATE, "%Y-%m-%d"))
dygraph(qui.ts, main = "2018 Tigres Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#00008B') %>%
#dyLimit(lmb_exp$Pyth[14], color = 'red') %>%
dyRangeSelector()
})
output$sal <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
sltts <- rename(select(LMBts,DATE,slt),WL_AVG = slt, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
slt.ts <- xts(sltts$WL_AVG, order.by = as.Date(sltts$DATE, "%Y-%m-%d"))
dygraph(slt.ts, main = "2018 Saraperos Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#40E0D0') %>%
#dyLimit(lmb_exp$Pyth[12], color = 'red') %>%
dyRangeSelector()
})
output$tab <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
tabts <- rename(select(LMBts,DATE,tab),WL_AVG = tab, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
tab.ts <- xts(tabts$WL_AVG, order.by = as.Date(tabts$DATE, "%Y-%m-%d"))
dygraph(tab.ts, main = "2017 Olmecas Expected Winning Season", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#FFFF00') %>%
#dyLimit(lmb_exp$Pyth[7], color = 'red') %>%
dyRangeSelector()
})
output$tij <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
tijts <- rename(select(LMBts,DATE,tij),WL_AVG = tij, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
tij.ts <- xts(tijts$WL_AVG, order.by = as.Date(tijts$DATE, "%Y-%m-%d"))
dygraph(tij.ts, main = "2017 Toros Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#000000') %>%
#dyLimit(lmb_exp$Pyth[15], color = 'red') %>%
dyRangeSelector()
})
output$lag <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
lagts <- rename(select(LMBts,DATE,vaq),WL_AVG = vaq, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
lag.ts <- xts(lagts$WL_AVG, order.by = as.Date(lagts$DATE, "%Y-%m-%d"))
dygraph(lag.ts, main = "2018 Vaqueros Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#8B0000') %>%
# dyLimit(lmb_exp$Pyth[16], color = 'red') %>%
dyRangeSelector()
})
output$lar <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
larts <- rename(select(LMBts,DATE,lar),WL_AVG = lar, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
lar.ts <- xts(larts$WL_AVG, order.by = as.Date(larts$DATE, "%Y-%m-%d"))
dygraph(lar.ts, main = "2018 Tecolotes Evolution WL PCT", ylab = "Win/Loss percentage") %>%
#dyLegend(show = "follow") %>%
dyOptions(colors = '#FF0000') %>%
#dyLimit(lmb_exp$Pyth[11], color = 'red') %>%
dyRangeSelector()
})
output$yuc <- renderDygraph({
ts.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQCuLmj4gmK_L06zKI9nyc_EoiRNqVwl10H4CSDfGOsIjWHLok7OBCg_RGMA57C5sLjq1twOQMb488T/pub?gid=948498967&single=true&output=csv"
LMBts <- read.csv(url(ts.u))
yucts <- rename(select(LMBts,DATE,yuc),WL_AVG = yuc, DATE = DATE)
#lmb_exp <- read.csv("LMB2018stan")
yuc.ts <- xts(yucts$WL_AVG, order.by = as.Date(yucts$DATE, "%Y-%m-%d"))
dygraph(yuc.ts, main = "2018 Leones Evolution WL PCT", ylab = "Win/Loss percentage") %>%
##dyLegend(show = "follow") %>%
dyOptions(colors = '#FF4500') %>%
#dyLimit(lmb_exp$Pyth[6], color = 'red') %>%
dyRangeSelector()
})
output$time <- renderDygraph({
att_time.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vStbs_L96FBpcZKd3ZPm0OztsT8g9xYK95ZR67-UGsG0aYYxohtFmrWGhav4pqpn0bMZ8REBUMehiGi/pub?gid=1306250727&single=true&output=csv"
LMBatt_time <- read.csv(url(att_time.u))
att_time <- LMBatt_time %>%
group_by(DATE) %>% summarise(
ATT = mean(ATT),
TIME = mean(TIME))
time.ts <- xts(att_time[,3], order.by = as.Date(att_time$DATE, "%Y-%m-%d"))
dygraph(time.ts, main = "2018 LMB GAMES TIME", ylab = "MINUTES") %>%
dyLimit(mean(LMBatt_time$TIME), color = 'red') %>%
dyRangeSelector()
})
output$att <- renderDygraph({
att_time.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vStbs_L96FBpcZKd3ZPm0OztsT8g9xYK95ZR67-UGsG0aYYxohtFmrWGhav4pqpn0bMZ8REBUMehiGi/pub?gid=1306250727&single=true&output=csv"
LMBatt_time <- read.csv(url(att_time.u))
att_time <- LMBatt_time %>%
group_by(DATE) %>% summarise(
ATT = mean(ATT),
TIME = mean(TIME))
att.ts <- xts(att_time[,2], order.by = as.Date(att_time$DATE, "%Y-%m-%d"))
dygraph(att.ts, main = "2018 LMB ATTENDANCE", ylab = "ATTENDANCE") %>%
dyLimit(mean(LMBatt_time$ATT), color = 'red') %>%
dyRangeSelector()
})
output$stan_nte <- renderDataTable({
stan.nte.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vSqxkxMkXPDti1hUWIyn7ikmuAkQG-o1RYhqqmrh3sGyGcRvl9TxN-3cNlKsWFsrIihsN6onrmsUFJu/pub?gid=2113179783&single=true&output=csv"
stan.nte <- read.csv(url(stan.nte.u))
#stan.nte = stan.nte[,-1]
stan.nte <- arrange(stan.nte, desc(PCT), TEAM)
datatable(stan.nte, options = list(paging = FALSE, searching = FALSE)) %>%
formatRound(columns = c('PCT','RperG','RAperG','RunsRatio','PCTexp','WinRatio'), digits = 3)
})
output$stan_sur <- renderDataTable({
stan.sur.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vT8Gt45XnEaKcm47RFwAzLeq0svwGMRgRKbuJu-wqYtPuRXSooZ4XrQJprFfMStY5KjCRyjpFbv5x2a/pub?gid=742234677&single=true&output=csv"
stan.sur <- read.csv(url(stan.sur.u))
#stan.sur = stan.sur[,-1]
stan.sur <- arrange(stan.sur, desc(PCT), TEAM)
datatable(stan.sur, options = list(paging = FALSE, searching = FALSE)) %>%
formatRound(columns = c('PCT','RperG','RAperG','RunsRatio','PCTexp','WinRatio'), digits = 3)
})
output$bat <- renderDataTable({
lmb.b.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vS5mSK8ZlY1qz1Sb7VSMiMSAthNY9JY5Mp05SyXbw5CsZAZhkOrgd75UU8NAEVH5zs122dDqmzam5NL/pub?gid=93773820&single=true&output=csv"
lmb_b <- read.csv(url(lmb.b.u)) %>%
arrange(desc(AVG))
datatable(lmb_b, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 6)
) %>%
formatRound(columns = c('AVG','OBP','SLG','OPS'), digits = 3)
})
output$pit <- renderDataTable({
lmb.p.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vQZ0LlEBYTwbjyHvzhlsxD3WYBC0Dpzp79zyl2bNsXWUoyYN6Dk-4aE0zD7imwcfqstvf1Dvw1t36rl/pub?gid=203948910&single=true&output=csv"
lmb_p <- read.csv(url(lmb.p.u)) %>%
arrange(desc(ERA))
datatable(lmb_p, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 6)
) %>%
formatRound(columns = c('ERA','WHIP'), digits = 2) %>%
formatRound(columns = c('IP'), digits = 1)
})
output$bat2 <- renderDataTable({
lmb.b2.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vS5mSK8ZlY1qz1Sb7VSMiMSAthNY9JY5Mp05SyXbw5CsZAZhkOrgd75UU8NAEVH5zs122dDqmzam5NL/pub?gid=93773820&single=true&output=csv"
lmb_b <- read.csv(url(lmb.b2.u)) %>%
arrange(desc(AVG))
datatable(lmb_b, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 6)
) %>%
formatRound(columns = c('AVG','OBP','SLG','OPS'), digits = 3)
})
output$pit2 <- renderDataTable({
lmb.p2.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vT3nDmSldZQxj0yObqJGaqumTRUpMbJ-rN-atpxN0hIX_egbK0BQGmpiUL1Kxb-okQE-gTVKzBpjHkK/pub?gid=49577423&single=true&output=csv"
lmb_p <- read.csv(url(lmb.p2.u)) %>%
arrange(desc(ERA))
datatable(lmb_p, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 6)
) %>%
formatRound(columns = c('ERA','WHIP','BB.9','K.9'), digits = 2) %>%
formatRound(columns = c('IP'), digits = 1)
})
output$tb <- renderDataTable({
lmb.tb.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vSH456A4j21jiEPonQ0Z9-cUMClhkuRl3diI-ecx14CCcK9WJQMJuLCew_nVj1L1mB3oprgjKzbUROu/pub?gid=1445749423&single=true&output=csv"
lmb_tb <- read.csv(url(lmb.tb.u)) %>%
arrange(desc(AVG))
datatable(lmb_tb, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 8)
) %>%
formatRound(columns = c('AVG','OBP','SLG','OPS'), digits = 3)
})
output$tp <- renderDataTable({
lmb.tp.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vTkwZWopw5S0Sqa5Sx_6HuE9RUXHTKPIjRlAfE3XjYlYRAO98mdyBeDmMKXKxaDwi0pEYnTkxHyZ5Je/pub?gid=1532815747&single=true&output=csv"
lmb_tp <- read.csv(url(lmb.tp.u)) %>%
arrange(desc(ERA))
datatable(lmb_tp, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 8)
) %>%
formatRound(columns = c('ERA','WHIP'), digits = 2) %>%
formatRound(columns = c('IP'), digits = 1)
})
output$tb2 <- renderDataTable({
lmb.tb2.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vSH456A4j21jiEPonQ0Z9-cUMClhkuRl3diI-ecx14CCcK9WJQMJuLCew_nVj1L1mB3oprgjKzbUROu/pub?gid=1445749423&single=true&output=csv"
lmb_tb <- read.csv(url(lmb.tb2.u)) %>%
arrange(desc(AVG))
datatable(lmb_tb, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 8)
) %>%
formatRound(columns = c('AVG','OBP','SLG','OPS'), digits = 3)
})
output$tp2 <- renderDataTable({
lmb.tp2.u <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vSU9wHxLfPPZkMxomezKeSBHjQp4xgdPXNK7v7Dj6jrER0sLeIn59Bal0Pl5JMMMF0nondwGU5QdGuD/pub?gid=2134339612&single=true&output=csv"
lmb_tp <- read.csv(url(lmb.tp2.u)) %>%
arrange(desc(ERA))
datatable(lmb_tp, extensions = 'FixedColumns',
options = list(scrollX = TRUE, fixedColumns = TRUE, pageLength = 8)
) %>%
formatRound(columns = c('ERA','WHIP','BB.9','K.9'), digits = 2) %>%
formatRound(columns = c('IP'), digits = 1)
})
output$systime <- renderPrint({
Sys.time()
})
}
shinyApp(ui, server)