Data Analysis > Misc > Multiple Response

Multiple Response Data Analysis

“Femmes.xlsx dataset consists responses from women aged 15–49 living in the households. There are three variable that can be considered as multiple response. The question were:

 

Question: From which media you get news?

1. News Paper,b) Radio    c) Television

journal	Read Newspaper  0=No, 1=Yes
Radio	Hear Radio 0=No, 1=Yes
TV	Watch Television 0=No, 1=Yes

 

 

//install.packages("expss")

library(expss)

df=apply_labels(df,

   journal="Read Newspaper",

   journal=c( "No"=0, "Yes"=1),

   radio="Hear Radio",

   radio=c( "No"=0, "Yes"=1),

   tv="Watch Television",

   tv=c( "No"=0, "Yes"=1)

)

The first respondent didn’t respond, second respondent selected only radio, 6^th respondent selected radio and TV.

 

To find simple frequencies:

# install.packages("dplyr")

library(dplyr)

count(df, radio, name = "Freq") %>% mutate(Percent = round(Freq/sum(Freq)*100, 1))

or

cbind(table(data$radio),round(prop.table(table(data$radio))*100,1))

 

n=nrow(df)
counts=colSums(df[,8:10])
percent <- round((counts / n) * 100, 2)
result <- data.frame(
Selected = counts,
Percent = percent
)
print(result)

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