How can data sampling and sampling operations be performed in R language?
In the R language, the following functions can be used for data sampling and sampling operations:
- Randomly sample from the dataset.
sample(data, size, replace = FALSE)
This includes data as the dataset to sample from, size as the sample size, and replace as whether to allow repeated sampling (default is FALSE, meaning not allowing repeated sampling).
- Randomly sample from the dataset with a certain probability.
sample(data, size, replace = FALSE, prob = NULL)
其中，prob是一个向量，用于指定每个数据点被选中的概率，其长度必须与data相同。
- Randomly select a certain number of samples.
sample.int(n, size, replace = FALSE)
n represents the total number of samples, size represents the sample size, and replace indicates whether repeated sampling is allowed (default is FALSE).
- Ensure reproducibility by setting a random number generator seed.
set.seed(seed)
The seed is the random number generating seed, and by setting the same seed, you can ensure that the same random sampling results are obtained each time the program is run.
These are some common methods in R for data sampling and sampling operations. Choose the appropriate method for data processing based on specific requirements.
