R语言使用sample函数采样dataframe数据行(sampling)、设置抽样个数、有放回抽样模式 # take a random sample of size 50 from a dataset mydata # sample without replacement mysample <- long[sample(1:nrow(long), 5, replace=TRUE),] mysample 安利一个R语言的优秀博主及其CSDN专栏: 博主博客地...
R语言使用sample函数从dataframe中抽样指定个数的数据行、并配置是否有放回抽样(Random samples) 目录
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 librarylibrary(dplyr)# Create a data framed <- data.frame( name = c("Abhi","Bhavesh","C...
azureml_main <-function(dataframe1, dataframe2){ data.set <- dataframe1[dataframe1[,1]==-1,]# positions of the positive samplespos <- dataframe1[dataframe1[,1]==1,]# replicate the positive samples to balance the samplefor(iin1:20) data.set <- rbind(data.set,pos) row.names(data....
Load the Wine Quality sample dataset from the UCI Machine Learning Repository(winequality-white.csv) into R using a dataframe (Note: There is botha red and white wine file, we will use white!). Excluding the quality targetvariable, use hclust to perform a hierarchical clustering of the data...
导入randomForest 和 LightGBM: R 复制 library(randomForest) library(lightgbm) 准备训练和测试数据集: R 复制 set.seed(SEED) y <- factor(df_clean$Exited) X <- df_clean[, !(colnames(df_clean) %in% c("Exited"))] split <- base::sample(c(TRUE, FALSE), nrow(df_clean), replace = ...
text=long) long 编辑R语言使用sample函数采样dataframe数据行（sampling）、设置抽样个数、没有放回抽样模式 # take a random sample of size 50 from a dataset mydata # sample without replacement mysample <- long[sample(1:nrow(long), 5, replace=FALSE),] mysample 安利...
ggplot2包中的主要功能是ggplot（），它可用于使用数据和x / y变量初始化绘图系统。 例如，以下R代码...
11. What is the use of subset() and sample() functions in R? Subset() is used to select the variables and observations and sample() function is used to generate a random sample of the size n from a dataset. 12. Explain what is transpose. Transpose is used for reshaping of the data...
# set random seed for reproducibility set.seed(123) # create first column with categorical variable with levels yes and no col1 <- sample(c("yes", "no"), 20, replace = TRUE) # create second and third columns with continuous variables ...