Split a Data Frame
Split a data frame into multiple data sets according to the specified ratios.
split_df(dt, y = NULL, ratios = c(0.7, 0.3), name_dfs = c("train",
"test"), seed = 618, ...)dt |
A data frame. |
y |
Name of y variable, Defaults to NULL. The input data will split based on the predictor y, if it is provide. |
ratios |
A numeric vector indicating the ratio of total rows contained in each split, defaults to c(0.7, 0.3). |
name_dfs |
Name of returned data frames. Its length should equals to the ratios'. Defaults to train and test. |
seed |
A random seed, Defaults to 618. |
... |
Additional parameters. |
A list of data frames
# load German credit data
data(germancredit)
# Example I
dt_list = split_df(germancredit, y="creditability")
# dimensions of each split data sets
lapply(dt_list, dim)
# Example II
dt_list2 = split_df(germancredit, y="creditability",
ratios = c(0.5, 0.3, 0.2),
name_dfs = c('train', 'test', 'valid'))
lapply(dt_list2, dim)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.