R 计算均值、中值、方差与频率分布的文件 [英] R computing mean, median, variance from file with frequency distribution

问题描述

我对 R 工具很陌生，我的问题可能有点太明显了.

I am very new to R tool and my questions might be a little too obvious.

我有一个包含以下数据的文件:

I have a file that has the following data:

Score     Frequency

 100         10

 200         30

 300         40

如何读取此文件并计算均值、中位数、方差和标准差?

How do I read this file and compute the mean, median, variance and standard deviation?

如果上表只是没有任何频率信息的原始分数，那么我可以这样做:

If this above table was just raw scores without any frequency information, then I can do this:

x <- scan(file="scores.txt", what = integer())

x <- scan(file="scores.txt", what = integer())

中位数(x)

等等，但我无法理解在给定频率表时如何进行这些计算.

and so on, but I am not able to understand how to do these computations when given a frequency table.

推荐答案

Read the data with read.table (read ?read.table for reading from a file).然后，通过创建单个分数的向量来扩展数据.然后我们可以编写一个函数来获取所需的统计信息.当然，如果您不想编写函数，您可以单独计算每个.

Read the data with read.table (read ?read.table for reading from a file). Then, expand the data by creating a vector of individual scores. We can then write a function to get the desired statistics. You can, of course, calculate each individually if you don't wish to write a function.

d <- read.table(header = TRUE, text = "Score     Frequency
 100         10
 200         30
 300         40")

d2 <- rep(d$Score, d$Frequency)  ## expands the data by frequency of score

multi.fun <- function(x) {
    c(mean = mean(x), median = median(x), var = var(x), sd = sd(x))
}

multi.fun(d2)
#      mean     median        var         sd 
# 237.50000  250.00000 4905.06329   70.03616 

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