Data Analysis > Descriptive Statistics > Histogram of a Continuous Variable

Histogram of a Continuous Variable

In our example data set we have a selected variable named “wscore”. Let us construct a histogram.

From previous section, We have the data Frame named “df” the variables are:

> names(df)

 "HL3"       "gender"    "HL5Y"      "HL6"       "HH6"       "HH7"       "HH7A"      "wscore"    "ethnicity" "helevel"   "schage"

To find the descriptive statistics of wscore the command is:

> summary(df$wscore)

Where is skewness and kurtosis? Lets use another package to have this.

install.packages("psych") 

library(psych)

describe(df$wscore)

> describe(df$wscore)

To visualize these above we need to construct BoxPlot:

boxplot(df$wscore, main = "Boxplot of wscore",

        ylab = "wscore", col = "lightblue")

Box-Plot of a single variable group by another categorical variable:

Suppose we want to construct the above box-plot by gender then

boxplot(wscore ~ HH6, data = df, main = "Boxplot of wscore by Locality",

        xlab = "Gender", ylab = "wscore", col = c("lightpink", "lightblue"))

Histogram of a single variable:

hist(df$wscore, breaks = 20, probability = TRUE,

     col = "lightblue", main = "Histogram of wscore with Normal Curve",

     xlab = "wscore")

curve(dnorm(x, mean = mean(df$wscore, na.rm = TRUE),

               sd = sd(df$wscore, na.rm = TRUE)),

               col = "red", lwd = 2, add = TRUE) 

 

 

Prev

Frequency table for a Continuous data

No More

Feedback

Submit