Up till now, our examples have dealt with using the sample function in R to select a random subset of the values in a vector. It is more likely you will be called upon to generate a random sample in R from an existingdata frames, randomly selecting rows from the larger set of observat...
Copy 例1: # Create samplex<-sample(1:100,10,replace=TRUE)# Print# Output may differ each time the command is executedprint(x) R Copy 输出。 [1]47522298759491944253 R Copy 例2: # Create samplepos<-sample(1:nrow(mtcars),5,replace=TRUE)# Print sample observations# Out...
Now, we can draw a random sample of our data frame with the sample R function as follows:data_s1 <- data[sample(1:nrow(data), 3), ] # Sample rows of data with Base R data_s1 # Print sampled dataTable 2: Sampled Data Frame by Rows in R Programming Language....
sample()R语言中的函数根据函数调用中提供的参数创建随机样本。它接受一个向量或一个正整数作为函数参数中的对象。 用法: sample(x, size, replace) 参数: x:表示向量或正整数或 DataFrame size:表示要采集的样本大小 replace:表示逻辑值。如果为 TRUE,样本可能有多个相同的值 ...
sample_n()R语言中的函数用于从 DataFrame 中随机抽取样本。 用法: sample_n(x, n) 参数:x:数据帧n:要选择的项目的大小/数量 范例1: # R program to collect sample data # from a data frame # Loading library library(dplyr) # Create a data frame d <- data.frame( name = c("Abhi", "...
Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham An Introduction to Statistical Learning: with Applications in R by Gareth James et al. Deep Learning with R by François Chollet & J.J. Allaire Deep Learning with Py...
R codes of one sample t-test To perform the one-sample t-test in R, use the following code: test <- t.test(data$Value, mu = 50) Now let’s analyse the output of the test: > test One Sample t-test data: data$Value t = 0.57321, df = 29, p-value = 0.5709 alternative hypoth...
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Take Random Samples from a Data Frame in R Programming - sample_n() Function R 语言中的 sample_n() 函数用于从一个数据框。 语法:sample_n(x, n) 参数:x:Data Framen:要选择的项目的大小/数量 示例1: # R program to collect sample data # from a data frame # Loading library library(dplyr...
As presented in this chapter, this set of lessons provides an introduction to the use of R and emphasizes good programming practices for data import or data entry, data organization, development of a detailed code book, visual data checks, descriptive analyses, and selected inferential analyses. ...