function

问题 I am looking for a more efficient way of doing an operation with a given dataframe. library(purrr) library(dplyr) Here is a step by step description: First, there is the function possible_matches , that for each observation i in df , gives the index of rows that are possibly matchable to i , which are going to be used on the next step: possible_matches <- function(i, df) { k1 <- df$j[df$id_0 == df$id_0[i]] j2 <- setdiff(df$j, k1) k2 <- map(j2, ~ df$j[df$id_0[.] == df$id_0]) k3 <- map(k2, ~

问题 I am looking for a more efficient way of doing an operation with a given dataframe. library(purrr) library(dplyr) Here is a step by step description: First, there is the function possible_matches , that for each observation i in df , gives the index of rows that are possibly matchable to i , which are going to be used on the next step: possible_matches <- function(i, df) { k1 <- df$j[df$id_0 == df$id_0[i]] j2 <- setdiff(df$j, k1) k2 <- map(j2, ~ df$j[df$id_0[.] == df$id_0]) k3 <- map(k2, ~

问题 I am looking for a more efficient way of doing an operation with a given dataframe. library(purrr) library(dplyr) Here is a step by step description: First, there is the function possible_matches , that for each observation i in df , gives the index of rows that are possibly matchable to i , which are going to be used on the next step: possible_matches <- function(i, df) { k1 <- df$j[df$id_0 == df$id_0[i]] j2 <- setdiff(df$j, k1) k2 <- map(j2, ~ df$j[df$id_0[.] == df$id_0]) k3 <- map(k2, ~

问题 I am looking for a more efficient way of doing an operation with a given dataframe. library(purrr) library(dplyr) Here is a step by step description: First, there is the function possible_matches , that for each observation i in df , gives the index of rows that are possibly matchable to i , which are going to be used on the next step: possible_matches <- function(i, df) { k1 <- df$j[df$id_0 == df$id_0[i]] j2 <- setdiff(df$j, k1) k2 <- map(j2, ~ df$j[df$id_0[.] == df$id_0]) k3 <- map(k2, ~

问题 Right, so I'm trying to create a Contacts application using Python OOP. I'm fairly new to OOP and still trying to get my head around the concepts. I understand that a Class is a blueprint for all objects. I like to think of a Class as an entity and each Object is a record of that entity. I am from a Database background so that's why I interpret it like this, feel free to correct me. Anyways, in the Contacts app I'm making I've created the Class Contacts as outlined below: class Contacts():

问题 Right, so I'm trying to create a Contacts application using Python OOP. I'm fairly new to OOP and still trying to get my head around the concepts. I understand that a Class is a blueprint for all objects. I like to think of a Class as an entity and each Object is a record of that entity. I am from a Database background so that's why I interpret it like this, feel free to correct me. Anyways, in the Contacts app I'm making I've created the Class Contacts as outlined below: class Contacts():

问题 Right, so I'm trying to create a Contacts application using Python OOP. I'm fairly new to OOP and still trying to get my head around the concepts. I understand that a Class is a blueprint for all objects. I like to think of a Class as an entity and each Object is a record of that entity. I am from a Database background so that's why I interpret it like this, feel free to correct me. Anyways, in the Contacts app I'm making I've created the Class Contacts as outlined below: class Contacts():

问题 I have a list of urls in a character vector and I want to pause the process between queries because if not the x queries is rejected. urls=c('url1','url2','url3') here is want I want to do htmlpages=lapply(urls,function(x) readLines(x) Sys.sleep(0.3)) 回答1: As Justin suggested, formatting is the key. htmlpages = lapply( urls, function(x) { y <- readLines(x) Sys.sleep(0.3) y } ) 来源： https://stackoverflow.com/questions/20473952/r-multiple-functions-into-lapply

问题 I have a list of urls in a character vector and I want to pause the process between queries because if not the x queries is rejected. urls=c('url1','url2','url3') here is want I want to do htmlpages=lapply(urls,function(x) readLines(x) Sys.sleep(0.3)) 回答1: As Justin suggested, formatting is the key. htmlpages = lapply( urls, function(x) { y <- readLines(x) Sys.sleep(0.3) y } ) 来源： https://stackoverflow.com/questions/20473952/r-multiple-functions-into-lapply

问题 I was writing a function using the logistf::logistf and logistf::forward function. I will give here a minimum working example using sex2 from the logistf package. data(sex2) fwSel <- function(datamod) { fitnull <- logistf(case ~ 1, data = datamod, pl = FALSE) fw <- forward(fitnull) return(fw) } fwSel(sex2) I get the following output: Step 0 : starting model Error in is.data.frame(data) : object 'datamod' not found`. Has anybody an explanation for that? 回答1: This is a typical error which you