我工作的组织有一个在我任职之前建立的投票平台,我无法找到获得触发所需投票条件所需的具体指数(限制每人一票)。我被告知print_r会给我所需的相应数据但我不是一个php开发人员,并且无法弄清楚如何运行print_r。代码如下:
library(shiny)
library(rhandsontable)
library(tidyverse)
make_DF <- function(n) {
DF <- data_frame(
entry = 1:n,
protein = NA_character_,
MW = NA_real_,
n = NA_integer_,
mean = NA_real_,
sd = NA_real_,
se = NA_real_,
min = NA_real_,
q1 = NA_real_,
median = NA_real_,
q3 = NA_real_,
max = NA_real_,
log_mean = NA_real_,
log_sd = NA_real_,
log_min = NA_real_,
log_q1 = NA_real_,
log_median = NA_real_,
log_q3 = NA_real_,
log_max = NA_real_,
units = factor("ng/mL", levels = c("pg/mL", "ng/mL", 'mcg/mL', 'mg/mL', 'g/mL')
)
)
DF[-1]
}
ui <- fluidPage(
tabPanel("Input",
column(4,
wellPanel(
checkboxGroupInput("data_format",
"The data consists of",
c("Mean and standard deviation" = "mean_sd",
"Mean and standard error" = "mean_se",
"Mean and standard deviation (log scale)" = "log_mean_sd",
"Mean and standard error (log scale)" = "log_mean_se",
"Median, min, and max" = "median_range",
"Median, Q1, and Q3" = 'median_iqr',
"Five point summary" = 'five_point'
# "Other combination" = 'other')
)
),
# p("Please note that selecting 'other' may result in invalid combinations."),
# titlePanel("Number of Entries"),
numericInput("n_entries",
"Number of Concentrations to estimate:",
value = 1,
min = 1),
actionButton("update_table", "Update Table")
)
),
column(8,
rHandsontableOutput("input_data") )
),
tabPanel("Output",
column(12,
tableOutput("test_output")
)
)
)
server <- function(input, output) {
# create or update the data frame by adding some rows
values <- reactiveValues()
observeEvent(input$update_table, {
# determine which variables to show based on user input
values$shown_variables <- unique(unlist(lapply(input$data_format, function(x) {
switch(x,
"mean_sd" = c('mean', 'sd'),
"mean_se" = c('mean', 'se'),
'log_mean_sd' = c("log_mean", 'log_sd'),
"log_mean_se" = c('log_mean', 'log_se'),
"median_range" = c('median','min', 'max'),
'median_IQR' = c("median", 'q1','q3'),
"five_point" = c('median', 'min', 'q1', 'q3', 'max'))
})))
# if a table does not already exist, this is our DF
if (input$update_table == 1) {
values$df <- make_DF(input$n_entries)
} else { # otherwise, append the new data frame to the old.
tmp_data <- hot_to_r(input$input_data)
values$df[,names(tmp_data)] <- tmp_data
values$df <- bind_rows(values$df, make_DF(input$n_entries))
}
# finally, set up table for data entry
DF_shown <- values$df[c('protein', 'MW', 'n', values$shown_variables, "units")]
output$test_output <- renderTable(values$df)
output$input_data <- renderRHandsontable({rhandsontable(DF_shown)})
})
}
shinyApp(ui = ui, server = server)
答案 0 :(得分:1)
第10行代码中已有print_r
个行ID。您可以通过删除//
取消注释。这将显示$ row-&gt; id中的所有数据,这可能只是一个数字。我不知道你的代码或数据库的其余部分是什么样的,所以这可能会或者可能不会真正给你你想要的东西。
有关print_r
in the documentation的更多信息。
像这样做print_r
是所谓的调试的一部分。确保仅在开发服务器上而不是在实时环境中进行调试。否则,使用投票系统的任何人都可以看到调试信息。
编辑:如下面的评论所述,您也可以尝试使用echo
代替print_r
替换
print_r($row->id);
与
echo $row->id;