CODEWITHSUNDEEP
rfunctionconfidence-interval
Charlotte
Charlotte

Reputation: 423

function that calculates confidence interval

I have two questions: First,I a qualitative variable Type class(Type)=table with different frequencies of categories, say

Type
    Type1          Type2            Type3
      150           4900                4

and a statistic for each of the categories I calculated before in another function (class is data frame) :

df
     Var1           Freq
1     Type1            0.1800
2     Type2            0.1130
3     Type3            0.2500

I want to calculate the confidence interval for each category automatically in a function that returns two vectors of the upper and lower bounds of the confidence intervalls. The formula for the confidence interval would be: df[1, 2] + 1.96*sqrt(df[1, 2]*(1 - df[1, 2])/t[[1]])so that the function extract the corresponding values from the table and the dataframe. Do I have to use for loop like this? 

ci <- function(stat, Type){
  p <- tapply(stat, Type, function(x) sum(x)/length(x))
  df <- as.data.frame(as.table(p))
  t <- table(Type)
    for (i in nrow(df)) {
      for (j in t)
    }
}

Upvotes: 0

Views: 825

Answers (1)

user7886302
user7886302

Reputation:

summarySE is function in the package Rmisc. By this function you can calculate CI for different categories. Current version 1.5 is available for R 3.4.0

Upvotes: 0

Related Questions