# Create a list containing strings, numbers, vectors and a logical values.>list_data<-list("Red","Green",c(21,32,11),TRUE,51.23,119.1)>print(list_data)>print(list_data)[[1]][1]"Red"[[2]][1]"Green"[[3]][1]213211[[4]][1]TRUE[[5]][1]51.23[[6]][1]119.1 命名列表元素 ...
Complete the code on the right to createshining_list; it contains three elements: moviename: a character string with the movie title (stored inmov) actors: a vector with the main actors' names (stored inact) reviews:a data framethat contains some reviews (stored inrev) ...
# create a list of 80% of the rows in the original dataset we can use for trainingvalidation_index <- createDataPartition(dataset$Species, p=0.80, list=FALSE)# select 20% of the data for validationvalidation <- dataset[-validation_index,]# use the remaining 80% of data to training and...
Let us create our first list! To constructa list you use the functionlist(): my_list <- list(comp1, comp2 ...) The arguments to the list function are thelist components(组件).Remember, these components can be matrices, vectors, other lists, ... 使用list( ) 内置函数进行list创建 要求...
Creatinga list 100xp Let us create our first list! To constructa list you use the functionlist(): my_list <- list(comp1, comp2 ...) The arguments to the list function are thelist components(组件).Remember, these components can be matrices, vectors, other lists, ... ...
cr.pt[[i]] <- list(destPoint( as(tissot.pt[i], "Spatial"), b = seq(0,360,1), d = 300000) ) } # Create a closed polygon from the previously generated vertices tissot.sfc <- st_cast(st_sfc(st_multipolygon(cr.pt ),
# create an empty numeric vector for the means ll_means <- numeric(length(ll)) # loop over each list element and calculate mean for (i in seq_along(ll)) { ll_means[i] <- mean(ll[[i]]) } lapply()版本 > lapply(ll, mean) $a [1] 0.8321302 $b [1] 4.309231 $c [1] 6.52788...
modify_caption: Use this option to add a table caption.#使用此选项可以添加表格标题。 bold_labels: Use this option to display the row labels in a bold font.#使用此选项可以用粗体显示行标签。 Using the COVID dataset (covid_20210908_rmph.rData, see Appendix A.4), create a “Table 1” ...
Create R函数,用于标准化多个变量并创建新列 标准化多个变量并创建新列的R函数可以使用以下代码实现: 代码语言:txt 复制 # 定义标准化函数 standardize <- function(data, vars) { # 计算每个变量的均值和标准差 means <- colMeans(data[, vars]) stds <- apply(data[, vars], 2, sd) # 标准...
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