r

问题 I'm trying to scrape this table which seems like it would be super simple. Here's the url of the table: https://fantasy.nfl.com/research/scoringleaders?position=1&sort=pts&statCategory=stats&statSeason=2019&statType=weekStats&statWeek=1 Here's what I coded: url <- "https://fantasy.nfl.com/research/scoringleaders?position=1&sort=pts&statCategory=stats&statSeason=2019&statType=weekStats&statWeek=1" x = data.frame(read_html(url) %>% html_nodes("table") %>% html_table()) This works ok but gives

问题 data <- tibble(x = 1:5, y = 6:10) data %>% select(x) returns Error: `...` is not empty. We detected these problematic arguments: * `logical` These dots only exist to allow future extensions and should be empty. Did you misspecify an argument? I can not figure out what is causing this error. I've tried reinstalling dplyr, restarting R, restarting the computer. Any suggestions would be appreciated. Running slang::last_error() gives <error/rlib_error_dots_nonempty> `...` is not empty. We

问题 I am fairly new to shiny and R I am trying to make a user interface for the amount of money used in different companies. I made a empty data frame, and was trying to add the input from the user to the data frame, but the app crashes. Any assistance would be great please! library(shiny) df <- data.frame(Company = character(), Goods = character(),GoodsType = character(), Number = integer(), Cost = double(), stringsAsFactors = FALSE) ui <- fluidPage( titlePanel("Cost tool "), sidebarLayout(

问题 I am fairly new to shiny and R I am trying to make a user interface for the amount of money used in different companies. I made a empty data frame, and was trying to add the input from the user to the data frame, but the app crashes. Any assistance would be great please! library(shiny) df <- data.frame(Company = character(), Goods = character(),GoodsType = character(), Number = integer(), Cost = double(), stringsAsFactors = FALSE) ui <- fluidPage( titlePanel("Cost tool "), sidebarLayout(

问题 I am trying to figure out a way to find all the keywords that come from the same root word (in some sense the opposite action of stemming). Currently, I am using R for coding, but I am open to switching to a different language if it helps. For instance, I have the root word "rent" and I would like to be able to find "renting", "renter", "rental", "rents" and so on. 回答1: Try this code in python: from pattern.en import lexeme print(lexeme("rent") the output generated is: Installation : pip

问题 How can I pre-select rows with the Select extension for Datatables in Shiny? I've checked the documentation here: https://datatables.net/extensions/select/. But I can't figure it out. I tried specifying rows = 1:3 but that didn't have any effect: library(DT) library(shiny) dat <- iris[1:17,] shinyApp( ui = fluidPage(DTOutput("table")), server = function(input, output, session) { output[["table"]] <- renderDT({ datatable( dat, options = list(select = list( style = "multi", rows = 1:3, selector

问题 How can I pre-select rows with the Select extension for Datatables in Shiny? I've checked the documentation here: https://datatables.net/extensions/select/. But I can't figure it out. I tried specifying rows = 1:3 but that didn't have any effect: library(DT) library(shiny) dat <- iris[1:17,] shinyApp( ui = fluidPage(DTOutput("table")), server = function(input, output, session) { output[["table"]] <- renderDT({ datatable( dat, options = list(select = list( style = "multi", rows = 1:3, selector

问题 I am trying to figure out a way to find all the keywords that come from the same root word (in some sense the opposite action of stemming). Currently, I am using R for coding, but I am open to switching to a different language if it helps. For instance, I have the root word "rent" and I would like to be able to find "renting", "renter", "rental", "rents" and so on. 回答1: Try this code in python: from pattern.en import lexeme print(lexeme("rent") the output generated is: Installation : pip

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"