R/BinaryTargetViz_1.R
In K2Analytics/BinaryTargetViz: Shiny application with Visualization function
Defines functions
BinaryTargetViz
Documented in
BinaryTargetViz
# Author: Jishnu S
# Email : jishnu.s@k2analytics.co.in
# please load atleast one df in environment
#install.packages("qpcR")
#' BinaryTargetViz
#' Visualization code in shiny app.
#' It takes the dataframes from current memory and visualize the graph according to the selected columns
#'@author Jishnu S
#'@return A graph
#'@example example.R
#'@export
BinaryTargetViz <- function(var) {
library(shiny)
m = var
library(plotly)
if (interactive()) {
ui <- navbarPage(theme = shinytheme("cosmo")
,header =
absolutePanel(
wellPanel(style = "background-color: lightblue;",
textOutput("text"),
#textOutput("text233"),
tags$head(
tags$style(
"#text{color: white;\n font-size: 12px;\n }"
)
))
,top = "8%",left = "75%",width="250px",height ="10%",draggable=TRUE)
,
"Visualization Dashboard", id="VD",
tabPanel(
"Visualization",
fluidPage(
titlePanel("Visualization"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table2"
),
uiOutput("factor"),
uiOutput("numeric"),
radioButtons(
inputId = "ones",
label = "Please choose one",
choices = c(
`Factor / Character Variable` = "fac",
`Numeric Variable` = "nam"
),
selected = NULL,
inline = FALSE,
width = NULL,
choiceNames = NULL,
choiceValues = NULL
),
uiOutput("all"),
actionButton("plot",
"Click for plot"))
,
column(8, plotlyOutput(
"trendPlot",
width = "auto", height = "auto"
))
)
),
tabPanel("Cross Table", fluidPage(
titlePanel("Cross Table"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table266"
),
uiOutput("factor266"),
uiOutput("numeric266"),
uiOutput("all266"),
actionButton("crossTable", "Click for Cross Table")
# ,wellPanel(HTML(text = "Company: K2 Analytics Finishing School Pvt. Ltd.")),
# wellPanel(HTML(text = "website: http://www.k2analytics.co.in"))
),
column(
7,
textOutput("crosstab2299"),
tags$head(
tags$style(
"#crosstab2299{color: red;\n font-size: 20px;\n font-style: italic;\n }"
)
),
tableOutput("crosstab"),
tableOutput("count")
)
)),
tabPanel(
"Descriptive Analysis",
fluidPage(
titlePanel("Descriptive Analysis"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table987"
),
uiOutput("factor987"),
helpText("Factor variable will produce a Frequency"),
uiOutput("numeric987"),
helpText("Numeric variable will produce a Quantile"),
selectInput(
"num987",
"Please Enter Number(Optional for quantile)",
0:100,
multiple = T,
selected = c(0, 1,
5, 10, 25, 50, 75, 90, 95, 99, 100)
),
radioButtons(
inputId = "ones987",
label = "Please choose one",
choices = c(
`Factor / Character Variable` = "fac987",
`Numeric Variable` = "nam987"
)
),
actionButton("analysis",
"Get Analysis")
# , wellPanel(
# HTML(text =
# "Company: K2 Analytics Finishing School Pvt. Ltd."
# ))
# ,
# wellPanel(HTML(text = "website: http://www.k2analytics.co.in"))
),
column(7, tableOutput("crosstab987"), tableOutput("count987"))
)
)
)
server <- function(input, output) {
{
out_factore <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(Filter(is.factor, op)))
k <- data.frame(names(Filter(is.character, op)))
colnames(j) <- "factor"
colnames(k) <- "factor"
j <- rbind(j, k)
j
})
output$factor <-
#reactive input factore
renderUI({
selectInput(
label = "Factor / Character Variable" ,
choices = out_factore() ,
selected = NULL,
inputId = "factor"
)
})
}
{
out_numeric <-
reactive({
#for reactive numeric output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(Filter(is.numeric, op)))
colnames(j) <- "numeric"
j
})
output$numeric <-
#reactive input numeric
renderUI({
selectInput(
label = "Numeric Variable" ,
choices = out_numeric() ,
selected = NULL,
multiple = F,
inputId = "numeric"
)
})
}
{
out_all <-
reactive({
#for reactive all output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$all <-
#reactive input all
renderUI({
selectInput(
label = "Select Target Variable" ,
choices = out_all() ,
selected = NULL,
multiple = F,
inputId = "all"
)
})
}
{
## List of Libraries
library(data.table)
library(scales)
## deciling code
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
## set the working directory of folder to dump the output
## compile the function
fn_biz_viz <- function(df, target, var)
{
tmp <- df[, c(var , target)]
colnames(tmp)[1] = "Xvar"
colnames(tmp)[2] = "Target"
tmp$deciles <- decile(tmp$Xvar)
library(data.table)
tmp_DT = data.table(tmp)
RRate <- tmp_DT[, list(
min_ = min(Xvar),
max_ = max(Xvar),
avg_ = mean(Xvar),
cnt = length(Target),
cnt_resp = sum(Target),
cnt_non_resp = sum(Target == 0)
) ,
by = deciles][order(deciles)]
RRate$range = paste(RRate$min_ , RRate$max_ , sep = " to ")
RRate$prob <- round(RRate$cnt_resp / RRate$cnt, 3)
setcolorder(RRate, c(1, 8, 2:7, 9))
RRate$cum_tot <- cumsum(RRate$cnt)
RRate$cum_resp <- cumsum(RRate$cnt_resp)
RRate$cum_non_resp <- cumsum(RRate$cnt_non_resp)
RRate$cum_tot_pct <-
round(RRate$cum_tot / sum(RRate$cnt), 2)
RRate$cum_resp_pct <-
round(RRate$cum_resp / sum(RRate$cnt_resp), 2)
RRate$cum_non_resp_pct <-
round(RRate$cum_non_resp / sum(RRate$cnt_non_resp), 2)
RRate$ks <-
abs(RRate$cum_resp_pct - RRate$cum_non_resp_pct)
RRate$prob = 100 * (RRate$prob)
RRate$cum_tot_pct = 100 * (RRate$cum_tot_pct)
RRate$cum_resp_pct = 100 * (RRate$cum_resp_pct)
RRate$cum_non_resp_pct = 100 * (RRate$cum_non_resp_pct)
RRate$ordered_range <-
factor(RRate$range, levels = RRate$range)
## Output the RRate table to csv file
## you should ensure the setwd - working directory
#write.csv(RRate, file = paste0(output_folder, var, ".csv"),
# row.names = FALSE)
RRate
}
}
{
kpp <- reactive({
y <- data.frame(get((input$Table2)))
jp <- fn_biz_viz(df = y,
target = input$all,
var = input$numeric)
})
}
{
header <- reactive({
target = input$all
var = input$numeric
paste(target, "Vs", var)
})
x_var_n <- reactive({
var <- input$numeric
var
})
kpp1 <- reactive({
jp <- kpp()
ay <- list(
tickfont = list(color = "red"),
overlaying = "y",
side = "right",
title = "Target Rate",
range = c(0, max(jp$prob + 2, by = 2))
)
p <- plot_ly() %>%
add_bars (x = jp$ordered_range,
y = jp$cnt,
name = "# Customers") %>%
add_lines(
x = jp$ordered_range,
y = jp$prob,
name = "Target Rate",
yaxis = "y2"
) %>%
add_text(
x = jp$ordered_range,
y = jp$prob,
text = jp$prob,
inherit = FALSE,
name = "Target Rate",
yaxis = "y2",
textposition = 'top',
textfont = list(color = '#000000', size = 16),
showlegend = FALSE
) %>%
layout(
title = header(),
yaxis2 = ay,
xaxis = list(title = x_var_n()),
yaxis = list(title = "# Customers"),
legend = list(
x = 0.3,
y = 1.1,
orientation = 'h'
),
margin = 10
)
p
})
header123 <- reactive({
in1 <- input$factor
in2 <- input$all
paste(in2, "Vs", in1)
})
x_var <- reactive({
in1 <- input$factor
in1
})
chr1 <- reactive({
if (input$factor == input$all)
return(NULL)
y <- data.frame(get((input$Table2)))
in1 <- input$factor
in2 <- input$all
kop <- y[, c(in1, in2)]
colnames(kop) <- c("group_V", "Target")
pp <- as.data.frame.matrix(table(kop$group_V, kop$Target))
jq <- pp
jq$all_c <- (jq$`0` + jq$`1`)
jq$prob <- round(jq$`1` / (jq$`0` + jq$`1`), 3)
jq$prob <- 100 * jq$prob
ay <- list(
tickfont = list(color = "red"),
overlaying = "y",
side = "right",
title = "Target Rate",
range = c(0, max(jq$prob + 2, by = 2))
)
p <- plot_ly() %>%
add_bars (x = row.names(jq),
y = jq$all_c,
name = "# Customers") %>%
add_lines (
x = row.names(jq),
y = jq$prob,
name = "Target Rate",
yaxis = "y2"
) %>%
add_text(
x = row.names(jq),
y = jq$prob,
text = jq$prob,
inherit = FALSE,
yaxis = "y2",
name = "Target Rate",
textposition = 'top',
textfont = list(color = '#000000', size = 16),
showlegend = FALSE
) %>%
layout(
title = header123(),
yaxis2 = ay,
xaxis = list(title = x_var()),
yaxis = list(title = "# Customers"),
legend = list(
x = 0.3,
y = 1.1,
orientation = 'h'
),
margin = 10
)
p
})
ntext <- eventReactive(input$plot, {
if (input$ones == "fac")
return(chr1())
kpp1()
})
}
{
output$trendPlot <- renderPlotly({
options(warn = -1)
ntext()
})
out_factore266 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$factor266 <-
#reactive input factore
renderUI({
selectInput(
label = "Dimension-1" ,
choices = out_factore266() ,
selected = NULL,
inputId = "factor266"
)
})
}
{
out_numeric266 <-
reactive({
#for reactive numeric output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$numeric266 <-
#reactive input numeric
renderUI({
selectInput(
label = "Dimension-2" ,
choices = out_numeric266() ,
selected = NULL,
multiple = F,
inputId = "numeric266"
)
})
}
{
out_all266 <-
reactive({
#for reactive all output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$all266 <-
#reactive input all
renderUI({
selectInput(
label = "Select Target Variable" ,
choices = out_all266() ,
selected = NULL,
multiple = F,
inputId = "all266"
)
})
header99 <- eventReactive(input$crossTable, {
in1 <- input$factor266
in2 <- input$numeric266
paste(c(in1, "Vs", in2))
})
output$crosstab2299 <- renderText({
header99()
})
output$text<-renderText({
k<- c("K2 Analytics Finishing School Pvt. Ltd."," Website: http://www.k2analytics.co.in")
k
})
output$text233<-renderText({
k<- "website: http://www.k2analytics.co.in"
k
})
crstbl <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$y))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$x + kop$y))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl99 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$y))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_1 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile = decile(kop$x)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(x),
max_ = max(x)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
kop
})
crstbl2 <- reactive({
kop <- crstbl2_dia_1()
tb <- as.data.frame.matrix(xtabs(~ kop$range + kop$y))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$range + kop$y))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl299 <- reactive({
kop <- crstbl2_dia_1()
tb <- as.data.frame.matrix(xtabs(~ kop$range + kop$y))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_2 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile = decile(kop$y)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(y),
max_ = max(y)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
kop
})
crstbl3 <- reactive({
kop <- crstbl2_dia_2()
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$range))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$x + kop$range))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl399 <- reactive({
kop <- crstbl2_dia_2()
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$range))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_bth <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile1 = decile(kop$y)
kop$decile = decile(kop$x)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(x),
max_ = max(x)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(y),
max_ = max(y)) ,
by = decile1][order(decile1)]
RRatet$range1 = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile1")
kop
})
crstbl4 <- reactive({
kop <- crstbl2_dia_bth()
tb <- as.data.frame.matrix(xtabs(~ kop$range1 + kop$range))
tb2 <-
as.data.frame.matrix(xtabs(kop$Ta ~ kop$range1 + kop$range))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl499 <- reactive({
kop <- crstbl2_dia_bth()
tb <- as.data.frame.matrix(xtabs(~ kop$range1 + kop$range))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
ntext266 <- eventReactive(input$crossTable, {
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl4()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "FALSE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl3()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "FALSE" ,
return(crstbl2()),
return(crstbl())
)
)
)
})
ntext26699 <- eventReactive(input$crossTable, {
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl499()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "FALSE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl399()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "FALSE" ,
return(crstbl299()),
return(crstbl99())
)
)
)
})
output$crosstab <- renderTable({
ntext266()
},
bordered = TRUE)
output$count <- renderTable({
ntext26699()
},
bordered = TRUE)
}
out_factore987 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table987))
return(NULL)
op <- data.frame(get((input$Table987)))
j <- data.frame(names(Filter(is.factor, op)))
k <- data.frame(names(Filter(is.character, op)))
colnames(j) <- "factor"
colnames(k) <- "factor"
j <- rbind(j, k)
j
})
output$factor987 <-
#reactive input factore
renderUI({
selectInput(
label = "Factor / Character Variable" ,
choices = out_factore987() ,
selected = NULL,
inputId = "factor987"
)
})
out_numeric987 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table987))
return(NULL)
op <- data.frame(get((input$Table987)))
j <- data.frame(names(Filter(is.numeric, op)))
colnames(j) <- "numeric"
j
})
output$numeric987 <-
#reactive input factore
renderUI({
selectInput(
label = "Numeric Variable" ,
choices = out_numeric987() ,
selected = NULL,
multiple = T,
inputId = "numeric987"
)
})
head987<-reactive({
in1<-input$factor987
in1
})
freq<-reactive({
y <- data.frame(get((input$Table987)))
in1 <- input$factor987
kop <- y[ in1]
colnames(kop)="x"
FREQ<-table(kop$x)
PER<-FREQ/nrow(kop)
FREQ<-data.frame(FREQ)
PER<-data.frame(PER)
FREQ<-merge(FREQ,PER,by="Var1")
library(scales)
FREQ$Freq.y<-percent(FREQ$Freq.y)
kob<-list(Var1="Total",Freq.x=nrow(kop),Freq.y=percent(nrow(kop)/nrow(kop)))
FREQ<-rbind(FREQ,data.frame(kob))
colnames(FREQ)<-c(head987(),"FREQ","PER")
FREQ
})
qunt<-reactive({
y <- data.frame(get((input$Table987)))
in1 <- input$numeric987
kop <- y[ in1]
in3<-paste(input$num987,sep=",")
in4<-as.numeric(in3)
in4<-sort(in4)
QUANTILE<- apply( kop[c(1:ncol(kop))] , 2 ,quantile ,
probs=in4/100,na.rm=TRUE)
QUANTILE<-as.data.frame(QUANTILE)
setDT(QUANTILE, keep.rownames = TRUE)[]
names(QUANTILE)[names(QUANTILE) == "rn"] = "PER"
QUANTILE
# QUANTILE<-quantile(kop$x,probs = in4/100)
# QUANTILE<-as.data.frame(QUANTILE)
# library(data.table)
# setDT(QUANTILE, keep.rownames = TRUE)[]
# colnames(QUANTILE)=c("PER","QUANTILE")
# QUANTILE
})
ntext987 <- eventReactive(input$analysis, {
if (input$ones987 == "fac987")
return(freq())
qunt()
})
output$crosstab987 <- renderTable({
ntext987()
},
bordered = TRUE)
}
shinyApp(ui, server)
}
}
K2Analytics/BinaryTargetViz documentation built on May 3, 2019, 3:36 p.m.
R Package Documentation
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Defines functions BinaryTargetViz
Documented in BinaryTargetViz
# Author: Jishnu S
# Email : jishnu.s@k2analytics.co.in
# please load atleast one df in environment
#install.packages("qpcR")
#' BinaryTargetViz
#' Visualization code in shiny app.
#' It takes the dataframes from current memory and visualize the graph according to the selected columns
#'@author Jishnu S
#'@return A graph
#'@example example.R
#'@export
BinaryTargetViz <- function(var) {
library(shiny)
m = var
library(plotly)
if (interactive()) {
ui <- navbarPage(theme = shinytheme("cosmo")
,header =
absolutePanel(
wellPanel(style = "background-color: lightblue;",
textOutput("text"),
#textOutput("text233"),
tags$head(
tags$style(
"#text{color: white;\n font-size: 12px;\n }"
)
))
,top = "8%",left = "75%",width="250px",height ="10%",draggable=TRUE)
,
"Visualization Dashboard", id="VD",
tabPanel(
"Visualization",
fluidPage(
titlePanel("Visualization"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table2"
),
uiOutput("factor"),
uiOutput("numeric"),
radioButtons(
inputId = "ones",
label = "Please choose one",
choices = c(
`Factor / Character Variable` = "fac",
`Numeric Variable` = "nam"
),
selected = NULL,
inline = FALSE,
width = NULL,
choiceNames = NULL,
choiceValues = NULL
),
uiOutput("all"),
actionButton("plot",
"Click for plot"))
,
column(8, plotlyOutput(
"trendPlot",
width = "auto", height = "auto"
))
)
),
tabPanel("Cross Table", fluidPage(
titlePanel("Cross Table"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table266"
),
uiOutput("factor266"),
uiOutput("numeric266"),
uiOutput("all266"),
actionButton("crossTable", "Click for Cross Table")
# ,wellPanel(HTML(text = "Company: K2 Analytics Finishing School Pvt. Ltd.")),
# wellPanel(HTML(text = "website: http://www.k2analytics.co.in"))
),
column(
7,
textOutput("crosstab2299"),
tags$head(
tags$style(
"#crosstab2299{color: red;\n font-size: 20px;\n font-style: italic;\n }"
)
),
tableOutput("crosstab"),
tableOutput("count")
)
)),
tabPanel(
"Descriptive Analysis",
fluidPage(
titlePanel("Descriptive Analysis"),
column(
4,
selectInput(
label = "Select Dataframe",
choices = m$names.x...x....TRUE..,
selected = NULL,
inputId = "Table987"
),
uiOutput("factor987"),
helpText("Factor variable will produce a Frequency"),
uiOutput("numeric987"),
helpText("Numeric variable will produce a Quantile"),
selectInput(
"num987",
"Please Enter Number(Optional for quantile)",
0:100,
multiple = T,
selected = c(0, 1,
5, 10, 25, 50, 75, 90, 95, 99, 100)
),
radioButtons(
inputId = "ones987",
label = "Please choose one",
choices = c(
`Factor / Character Variable` = "fac987",
`Numeric Variable` = "nam987"
)
),
actionButton("analysis",
"Get Analysis")
# , wellPanel(
# HTML(text =
# "Company: K2 Analytics Finishing School Pvt. Ltd."
# ))
# ,
# wellPanel(HTML(text = "website: http://www.k2analytics.co.in"))
),
column(7, tableOutput("crosstab987"), tableOutput("count987"))
)
)
)
server <- function(input, output) {
{
out_factore <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(Filter(is.factor, op)))
k <- data.frame(names(Filter(is.character, op)))
colnames(j) <- "factor"
colnames(k) <- "factor"
j <- rbind(j, k)
j
})
output$factor <-
#reactive input factore
renderUI({
selectInput(
label = "Factor / Character Variable" ,
choices = out_factore() ,
selected = NULL,
inputId = "factor"
)
})
}
{
out_numeric <-
reactive({
#for reactive numeric output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(Filter(is.numeric, op)))
colnames(j) <- "numeric"
j
})
output$numeric <-
#reactive input numeric
renderUI({
selectInput(
label = "Numeric Variable" ,
choices = out_numeric() ,
selected = NULL,
multiple = F,
inputId = "numeric"
)
})
}
{
out_all <-
reactive({
#for reactive all output based on selected object
if (is.null(input$Table2))
return(NULL)
op <- data.frame(get((input$Table2)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$all <-
#reactive input all
renderUI({
selectInput(
label = "Select Target Variable" ,
choices = out_all() ,
selected = NULL,
multiple = F,
inputId = "all"
)
})
}
{
## List of Libraries
library(data.table)
library(scales)
## deciling code
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
## set the working directory of folder to dump the output
## compile the function
fn_biz_viz <- function(df, target, var)
{
tmp <- df[, c(var , target)]
colnames(tmp)[1] = "Xvar"
colnames(tmp)[2] = "Target"
tmp$deciles <- decile(tmp$Xvar)
library(data.table)
tmp_DT = data.table(tmp)
RRate <- tmp_DT[, list(
min_ = min(Xvar),
max_ = max(Xvar),
avg_ = mean(Xvar),
cnt = length(Target),
cnt_resp = sum(Target),
cnt_non_resp = sum(Target == 0)
) ,
by = deciles][order(deciles)]
RRate$range = paste(RRate$min_ , RRate$max_ , sep = " to ")
RRate$prob <- round(RRate$cnt_resp / RRate$cnt, 3)
setcolorder(RRate, c(1, 8, 2:7, 9))
RRate$cum_tot <- cumsum(RRate$cnt)
RRate$cum_resp <- cumsum(RRate$cnt_resp)
RRate$cum_non_resp <- cumsum(RRate$cnt_non_resp)
RRate$cum_tot_pct <-
round(RRate$cum_tot / sum(RRate$cnt), 2)
RRate$cum_resp_pct <-
round(RRate$cum_resp / sum(RRate$cnt_resp), 2)
RRate$cum_non_resp_pct <-
round(RRate$cum_non_resp / sum(RRate$cnt_non_resp), 2)
RRate$ks <-
abs(RRate$cum_resp_pct - RRate$cum_non_resp_pct)
RRate$prob = 100 * (RRate$prob)
RRate$cum_tot_pct = 100 * (RRate$cum_tot_pct)
RRate$cum_resp_pct = 100 * (RRate$cum_resp_pct)
RRate$cum_non_resp_pct = 100 * (RRate$cum_non_resp_pct)
RRate$ordered_range <-
factor(RRate$range, levels = RRate$range)
## Output the RRate table to csv file
## you should ensure the setwd - working directory
#write.csv(RRate, file = paste0(output_folder, var, ".csv"),
# row.names = FALSE)
RRate
}
}
{
kpp <- reactive({
y <- data.frame(get((input$Table2)))
jp <- fn_biz_viz(df = y,
target = input$all,
var = input$numeric)
})
}
{
header <- reactive({
target = input$all
var = input$numeric
paste(target, "Vs", var)
})
x_var_n <- reactive({
var <- input$numeric
var
})
kpp1 <- reactive({
jp <- kpp()
ay <- list(
tickfont = list(color = "red"),
overlaying = "y",
side = "right",
title = "Target Rate",
range = c(0, max(jp$prob + 2, by = 2))
)
p <- plot_ly() %>%
add_bars (x = jp$ordered_range,
y = jp$cnt,
name = "# Customers") %>%
add_lines(
x = jp$ordered_range,
y = jp$prob,
name = "Target Rate",
yaxis = "y2"
) %>%
add_text(
x = jp$ordered_range,
y = jp$prob,
text = jp$prob,
inherit = FALSE,
name = "Target Rate",
yaxis = "y2",
textposition = 'top',
textfont = list(color = '#000000', size = 16),
showlegend = FALSE
) %>%
layout(
title = header(),
yaxis2 = ay,
xaxis = list(title = x_var_n()),
yaxis = list(title = "# Customers"),
legend = list(
x = 0.3,
y = 1.1,
orientation = 'h'
),
margin = 10
)
p
})
header123 <- reactive({
in1 <- input$factor
in2 <- input$all
paste(in2, "Vs", in1)
})
x_var <- reactive({
in1 <- input$factor
in1
})
chr1 <- reactive({
if (input$factor == input$all)
return(NULL)
y <- data.frame(get((input$Table2)))
in1 <- input$factor
in2 <- input$all
kop <- y[, c(in1, in2)]
colnames(kop) <- c("group_V", "Target")
pp <- as.data.frame.matrix(table(kop$group_V, kop$Target))
jq <- pp
jq$all_c <- (jq$`0` + jq$`1`)
jq$prob <- round(jq$`1` / (jq$`0` + jq$`1`), 3)
jq$prob <- 100 * jq$prob
ay <- list(
tickfont = list(color = "red"),
overlaying = "y",
side = "right",
title = "Target Rate",
range = c(0, max(jq$prob + 2, by = 2))
)
p <- plot_ly() %>%
add_bars (x = row.names(jq),
y = jq$all_c,
name = "# Customers") %>%
add_lines (
x = row.names(jq),
y = jq$prob,
name = "Target Rate",
yaxis = "y2"
) %>%
add_text(
x = row.names(jq),
y = jq$prob,
text = jq$prob,
inherit = FALSE,
yaxis = "y2",
name = "Target Rate",
textposition = 'top',
textfont = list(color = '#000000', size = 16),
showlegend = FALSE
) %>%
layout(
title = header123(),
yaxis2 = ay,
xaxis = list(title = x_var()),
yaxis = list(title = "# Customers"),
legend = list(
x = 0.3,
y = 1.1,
orientation = 'h'
),
margin = 10
)
p
})
ntext <- eventReactive(input$plot, {
if (input$ones == "fac")
return(chr1())
kpp1()
})
}
{
output$trendPlot <- renderPlotly({
options(warn = -1)
ntext()
})
out_factore266 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$factor266 <-
#reactive input factore
renderUI({
selectInput(
label = "Dimension-1" ,
choices = out_factore266() ,
selected = NULL,
inputId = "factor266"
)
})
}
{
out_numeric266 <-
reactive({
#for reactive numeric output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$numeric266 <-
#reactive input numeric
renderUI({
selectInput(
label = "Dimension-2" ,
choices = out_numeric266() ,
selected = NULL,
multiple = F,
inputId = "numeric266"
)
})
}
{
out_all266 <-
reactive({
#for reactive all output based on selected object
if (is.null(input$Table266))
return(NULL)
op <- data.frame(get((input$Table266)))
j <- data.frame(names(op))
colnames(j) <- "all"
j
})
output$all266 <-
#reactive input all
renderUI({
selectInput(
label = "Select Target Variable" ,
choices = out_all266() ,
selected = NULL,
multiple = F,
inputId = "all266"
)
})
header99 <- eventReactive(input$crossTable, {
in1 <- input$factor266
in2 <- input$numeric266
paste(c(in1, "Vs", in2))
})
output$crosstab2299 <- renderText({
header99()
})
output$text<-renderText({
k<- c("K2 Analytics Finishing School Pvt. Ltd."," Website: http://www.k2analytics.co.in")
k
})
output$text233<-renderText({
k<- "website: http://www.k2analytics.co.in"
k
})
crstbl <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$y))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$x + kop$y))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl99 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$y))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_1 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile = decile(kop$x)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(x),
max_ = max(x)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
kop
})
crstbl2 <- reactive({
kop <- crstbl2_dia_1()
tb <- as.data.frame.matrix(xtabs(~ kop$range + kop$y))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$range + kop$y))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl299 <- reactive({
kop <- crstbl2_dia_1()
tb <- as.data.frame.matrix(xtabs(~ kop$range + kop$y))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_2 <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile = decile(kop$y)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(y),
max_ = max(y)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
kop
})
crstbl3 <- reactive({
kop <- crstbl2_dia_2()
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$range))
tb2 <- as.data.frame.matrix(xtabs(kop$Ta ~ kop$x + kop$range))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl399 <- reactive({
kop <- crstbl2_dia_2()
tb <- as.data.frame.matrix(xtabs(~ kop$x + kop$range))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
crstbl2_dia_bth <- reactive({
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(
x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)
))
))
))
)))
}
kop$decile1 = decile(kop$y)
kop$decile = decile(kop$x)
library(data.table)
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(x),
max_ = max(x)) ,
by = decile][order(decile)]
RRatet$range = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile")
tmp_DT = data.table(kop)
RRatet <- tmp_DT[, list(min_ = min(y),
max_ = max(y)) ,
by = decile1][order(decile1)]
RRatet$range1 = paste(RRatet$min_ , RRatet$max_ , sep = " to ")
library(plyr)
kop <- join(kop, RRatet, by = "decile1")
kop
})
crstbl4 <- reactive({
kop <- crstbl2_dia_bth()
tb <- as.data.frame.matrix(xtabs(~ kop$range1 + kop$range))
tb2 <-
as.data.frame.matrix(xtabs(kop$Ta ~ kop$range1 + kop$range))
per <- tb2 * 100 / tb
library(data.table)
setDT(per, keep.rownames = TRUE)[]
names(per)[names(per) == "rn"] = "Target Rate"
per
})
crstbl499 <- reactive({
kop <- crstbl2_dia_bth()
tb <- as.data.frame.matrix(xtabs(~ kop$range1 + kop$range))
library(data.table)
setDT(tb, keep.rownames = TRUE)[]
names(tb)[names(tb) == "rn"] = "#Customers"
tb
})
ntext266 <- eventReactive(input$crossTable, {
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl4()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "FALSE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl3()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "FALSE" ,
return(crstbl2()),
return(crstbl())
)
)
)
})
ntext26699 <- eventReactive(input$crossTable, {
y <- data.frame(get((input$Table266)))
in1 <- input$factor266
in2 <- input$numeric266
in3 <- input$all266
kop <- y[, c(in1, in2, in3)]
colnames(kop) <- c("x", "y", "Ta")
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl499()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "FALSE"
&
class(kop$y) %in% c("numeric", "integer") == "TRUE" ,
return(crstbl399()),
ifelse(
class(kop$x) %in% c("numeric", "integer") == "TRUE"
&
class(kop$y) %in% c("numeric", "integer") == "FALSE" ,
return(crstbl299()),
return(crstbl99())
)
)
)
})
output$crosstab <- renderTable({
ntext266()
},
bordered = TRUE)
output$count <- renderTable({
ntext26699()
},
bordered = TRUE)
}
out_factore987 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table987))
return(NULL)
op <- data.frame(get((input$Table987)))
j <- data.frame(names(Filter(is.factor, op)))
k <- data.frame(names(Filter(is.character, op)))
colnames(j) <- "factor"
colnames(k) <- "factor"
j <- rbind(j, k)
j
})
output$factor987 <-
#reactive input factore
renderUI({
selectInput(
label = "Factor / Character Variable" ,
choices = out_factore987() ,
selected = NULL,
inputId = "factor987"
)
})
out_numeric987 <-
reactive({
#for reactive factore output based on selected object
if (is.null(input$Table987))
return(NULL)
op <- data.frame(get((input$Table987)))
j <- data.frame(names(Filter(is.numeric, op)))
colnames(j) <- "numeric"
j
})
output$numeric987 <-
#reactive input factore
renderUI({
selectInput(
label = "Numeric Variable" ,
choices = out_numeric987() ,
selected = NULL,
multiple = T,
inputId = "numeric987"
)
})
head987<-reactive({
in1<-input$factor987
in1
})
freq<-reactive({
y <- data.frame(get((input$Table987)))
in1 <- input$factor987
kop <- y[ in1]
colnames(kop)="x"
FREQ<-table(kop$x)
PER<-FREQ/nrow(kop)
FREQ<-data.frame(FREQ)
PER<-data.frame(PER)
FREQ<-merge(FREQ,PER,by="Var1")
library(scales)
FREQ$Freq.y<-percent(FREQ$Freq.y)
kob<-list(Var1="Total",Freq.x=nrow(kop),Freq.y=percent(nrow(kop)/nrow(kop)))
FREQ<-rbind(FREQ,data.frame(kob))
colnames(FREQ)<-c(head987(),"FREQ","PER")
FREQ
})
qunt<-reactive({
y <- data.frame(get((input$Table987)))
in1 <- input$numeric987
kop <- y[ in1]
in3<-paste(input$num987,sep=",")
in4<-as.numeric(in3)
in4<-sort(in4)
QUANTILE<- apply( kop[c(1:ncol(kop))] , 2 ,quantile ,
probs=in4/100,na.rm=TRUE)
QUANTILE<-as.data.frame(QUANTILE)
setDT(QUANTILE, keep.rownames = TRUE)[]
names(QUANTILE)[names(QUANTILE) == "rn"] = "PER"
QUANTILE
# QUANTILE<-quantile(kop$x,probs = in4/100)
# QUANTILE<-as.data.frame(QUANTILE)
# library(data.table)
# setDT(QUANTILE, keep.rownames = TRUE)[]
# colnames(QUANTILE)=c("PER","QUANTILE")
# QUANTILE
})
ntext987 <- eventReactive(input$analysis, {
if (input$ones987 == "fac987")
return(freq())
qunt()
})
output$crosstab987 <- renderTable({
ntext987()
},
bordered = TRUE)
}
shinyApp(ui, server)
}
}
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