集合(List, Set, Map等) 应用场景 数据处理:根据不同的输入参数处理数据。 业务逻辑:实现复杂的业务规则和流程。 接口交互:与外部系统或服务进行数据交换。 可能遇到的问题及解决方法 问题1:参数过多导致方法签名复杂 当一个方法需要大量的参数时,代码的可读性和维护性可能会受到影响。 解决方法: 使
实际上这都可以在R内部完成。举例来说用pandoc转换成docx再打开它。 system('pandoc d:\\rspace\\ -o d:\\rspace\\na.docx') shell.exec('d:\\rspace\\na.docx') 二、 网络浏览: browseURL:浏览某个指定的网页 download.file:下载网络文件到本地 三、文件操作 dir.create:新建一个文件夹 list.dirs...
lapply(X, FUN, …) X表示一个向量或者表达式对象,其余对象将被通过as.list强制转换为list 例: > x <- list(a = 1:10, beta = exp(-3:3), logic = c(TRUE,FALSE,FALSE,TRUE)) > x $a [1] 1 2 3 4 5 6 7 8 9 10 $beta [1] 0.04978707 0.13533528 0.36787944 1.00000000 2.71828183 7.38...
# ellipses as an argument in a function. Below I have an example function that # is supposed to add two explicitly named arguments called alpha and beta. # # add_alpha_and_beta <- function(...){ # # First we must capture theellipsisinside of a list # # and then assign the list ...
$data_size) return false; return [$data_addr, $text_size, $data_size]; } function get_basic_funcs($base, $elf) { list($data_addr, $text_size, $data_size) = $elf; for($i = 0; $i < $data_size / 8; $i++) { $leak = leak($data_addr, $i * 8); if($leak - $base...
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若自定义函数需要多个返回值,将多个返回值放入一个列表list,再返回一个列表list。设定默认参数值n=T,p=T。输出离散/集中趋势的指标。 myfunction<- function(x,n=T,p=T){ if(!n){ center <- mean(x);spread <- sd(x) } else { center <- median(x);spread <- mad(x) } if(p & !n){ ...
Finally, participants were asked whether they had sought help or advice regarding their sex life from any of a list of sources in the last year, and if yes, to select all that apply. These options were subsequently grouped as family member/friend, media/self-help (includes information and ...
The reason string is sent to the client in the HTTP response line. Use this function to set the status of the response before calling the function protocol_start_response or returning REQ_ABORTED.For the complete list of valid status code constants, refer to the nsapi.h file....
(~ sex | state, data = censusWorkers) # Repeat, printing x axis labels at an angle, and all panels in a row rxHistogram(~ sex | state, scales = list(x = list(rot = 30)), data = censusWorkers, layout = c(3,1)) # Create panels for age for each sex for each state rx...