Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
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
To create facetted plot with facets in horizontal direction using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the facetted plot using facet_grid function of ggplot2 package.Use facet_grid function with reversed value of categorical column to create the facetted plot with facets in horizontal direction.Create the data frameLet's create a data frame as shown below − Live Demox
To define points outside the R data frame and draw them in ggplot2 graph, we can follow the below step −First of all, create a data frameThen, create the scatterplot using geom_point function of ggplot2 package.Create the scatterplot with data outside data frame using data.frame inside geom_point.Create the data frameLet's create a data frame as shown below − Live Demox
To create a ggplot2 graph in R without showing values, we can follow the below steps −First of all, create a data frame.Then, create the graph using ggplot2.Create the graph using ggplot2 without providing the function for the plot.Create the data frameLet's create a data frame as shown below − Live Demox
To delete lines after creating a line chart with points in base R we would need to create the points chart only, therefore, we can follow the below steps −First of all, create two vectors and create the line chart with points.Now, again create the line chart but without pointsCreate the vectors and line chart with pointsUse plot and lines function to create the line chart with points as shown below − Live Demox
To create facetted scatterplot with scale of X-axis based on the numerical values corresponding to grouping column in R, we can follow the below steps −First of all, create a data frame having at least one grouping column and two numerical columns.Create the facetted scatterplot based on the grouping column.Create the facetted scatterplot based on grouping column with X-axis scale based on corresponding values in numerical columns.Create the data frameLet's create a data frame as shown below − Live Demox
To create NA column for a contingency table in R, we can follow the below steps −First of all, create a data frame with two columns having some NA values.Create a contingency table for two columns.Create the same table using useNA.Create the data frameLet's create a data frame as shown below − Live Demox