计算网络变化的函数

Question

我想使用函数计算网络中颜色变化的次数。

更改将是 "red" 到 "green"（示例中从 a 到 b）

重叠（例如，"green"到"green"和"orange"，示例中从c到c1）不应算作更改。

示例数据：

library(tidyverse)


network <- tibble(
  from=c("a","b","c","c"),
  to= c("b","c","c1","c2"))


colors <- list(
  a=list("red"),
  b=list("red"),
  c=list("green"),
  c1=list("green","orange"),
  c2=list("blue","black")
)

在此示例中，函数的正确输出为 1（从 c 到 c2）。

Answer 1

下面介绍了如何创建一个函数来计算网络中颜色变化的次数：

count_color_changes <- function(network, colors) {
  # Initialize a counter to 0
  counter <- 0

  # Iterate over the rows in the network
  for (i in 1:nrow(network)) {
    # Get the 'from' and 'to' nodes for the current row
    from <- network[i, "from"]
    to <- network[i, "to"]

    # Get the list of colors for the 'from' and 'to' nodes
    from_colors <- colors[[from]]
    to_colors <- colors[[to]]

    # Check if there is at least one color that is present in the list
    # of colors for both the 'from' and 'to' nodes
    common_colors <- intersect(from_colors, to_colors)

    # If there are no common colors, then it means that there is a
    # color change from the 'from' node to the 'to' node
    if (length(common_colors) == 0) {
      # Increment the counter
      counter <- counter + 1
    }
  }

  # Return the counter
  return(counter)
}

然后，您可以按如下方式使用此功能：

# Count the number of color changes in the network
count_color_changes(network, colors)
# Output: 1

此函数首先将计数器初始化为 0。然后遍历“网络”中的行