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To find the count of duplicate rows if they are greater than n in R data frame, we can follow the below steps −First of all, create a data frame.Then, count the duplicate rows if they are greater than a certain number using group_by_all, count, and filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox
To create facets in vertical order using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create facetted plot with facet_grid function.After that, create the facetted plot with facet_wrap function.Create the data frameLet's create a data frame as shown below − Live Demox
To randomize column values of a data.table object for all columns in R, we can follow the below steps −First of all, create a data.table object.Then, use sample function with lapply to randomize the columns of the data.table object.Create the data frameLet's create a data frame as shown below −library(data.table) x
To create two lines using ggplot2 based on a categorical column in R, we can follow the below steps −First of all, create a data frame.Then, create the line chart with categorical column read as factor inside aes of ggplot function.Create the data frameLet's create a data frame as shown below − Live Demox
To create a clone of a data frame in R without data values, we can follow the below steps −First of all, create a data frame.Then, create the clone of the data frame by subsetting zero rows.Example 1Create the data frameLet's create a data frame as shown below − Live Demox1
To filter data frame by categorical variable in R, we can follow the below steps −Use inbuilt data sets or create a new data set and look at top few rows in the data set.Then, look at the bottom few rows in the data set.Check the data structure.Filter the data by categorical column using split function.Use inbuilt data setLet’s consider CO2 data set in base R − Live Demodata(CO2) head(CO2, 10)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Grouped Data: uptake ~ conc | Plant Plant Type Treatment conc uptake ... Read More
To find the summary by categorical variable, we can follow the below steps −Use inbuilt data sets or create a new data set.Find the summary statistics with by function.Use inbuilt data setLet’s consider mtcars data set in base R − Live Demodata(mtcars) head(mtcars, 25)On executing, the above script generates the below output(this output will vary on your system due to randomization) − mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21.0 6 160.0 110 3.90 2.620 ... Read More
To add values in columns having same name and merge them in R, we can follow the below steps −First of all, create a data frame.Add column values that have same name and merge them by using cbind with do.call.Create the data frameLet's create a data frame as shown below −df
To change the color of line of a plot created for an xts object in R, we can follow the below steps −First of all, create a data frame.Then, convert this data frame into an xts object.Create the plot for the data in xts object with default color.Then, create the plot for the data in xts object with different colorCreate the data frameLet's create a data frame as shown below −Dates
To create facetted plot with one facet displaying all data using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create facetted plot using facet_grid function.After that, create the facetted plot with margins argument set to TRUE to display the plot with all data.Create the data frameLet's create a data frame as shown below − Live Demox