Descriptive statistics of a variable in r
How do you find the descriptive statistics of a variable in R?
Descriptive statistics for metric variables can be also obtained by the numSummary() function from the RcmdrMisc package.
The generic form of this function is: numSummary(df[, c("var1", "var2"], groups = df$factor, statistics = c("mean", "sd", "quantiles"), quantiles = c(0,..
How do you get the description of a variable in R?
To add a variable description in R, we can use comment function and if we want to have a look at the description then structure call of the data frame will be used..
How do you summarize a variable in R?
Summarise multiple variables
The functions summarise_all() , summarise_at() and summarise_if() can be used to summarise multiple columns at once..
- If you've collected data on more than one variable, you can use bivariate or multivariate descriptive statistics to explore whether there are relationships between them.
In bivariate analysis, you simultaneously study the frequency and variability of two variables to see if they vary together.
The function summary(data_frame) returns descriptive statistics for all variables in a dataset. For numeric variables, the minimum, maximum, quartiles, median, and mean values are returned, for factors the frequencies of the factor levels. In addition, the number of missing values for both variable types is displayed.
How to obtain descriptive statistics in R?
R provides a wide range of functions for obtaining summary statistics
One method of obtaining descriptive statistics is to use the sapply ( ) function with a specified summary statistic
# get means for variables in data frame mydata # excluding missing values sapply (mydata, mean, na
rm=TRUE)
One method of obtaining descriptive statistics is to use the sapply () function with a specified summary statistic. # get means for variables in data frame mydata # excluding missing values sapply (mydata, mean, na.rm=TRUE) Possible functions used in sapply include mean, sd, var, min, max, median, range, and quantile.There are a variety of packages and commands that will return various descriptive statistics. Here are some options: psych::describe (mydata, digits = 2) psych::describe (mydata$intvar, digits = 2) You can also get descriptive statistics for interval variables broken out by groups (categorical variable).Descriptive statistics are values that describe a dataset. They help us gain an understanding of where the center of the dataset is located along with how spread out the values are in the dataset. There are two functions we can use to calculate descriptive statistics in R: Method 1: Use summary () Function summary (my_data)
