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To find the row and column index for upper triangular matrix elements in R, we can follow the below steps −First of all, create a matrix.Then, use which function with upper.tri function to find the row and column index for upper triangular matrix elements.After, that attach the values corresponding to each index using cbind function.Create the matrixLet’s create a matrix as shown below − Live DemoM
To divide matrix row values by row mean in R, we can follow the below steps −First of all, create a matrix.Then, use apply function to divide the matrix row values by row mean.Create the matrixLet’s create a matrix as shown below − Live DemoM
To combine multiple R data frames stored in multiple lists based on a common column, we can follow the below steps −First of all, create two lists of data frames.Then, use map2_df function from purrr package and inner_join function from dplyr package to combine the data frames stored in lists based on a common column.Create the two lists of data framesLet's create a data frames as shown below − Live Demodf1
To create plotly bar chart with values on top of bars in R, we can follow the below steps −First of all, create two vectors one having categories and one counts and create the bar chart using plotly.Then, create the same bar chart with add_text function of plotly package.Create the vectors and plotly bar chartUsing c function to create the vectors and plotly function with layout function to create the bar chart with axes titles −x
To find the correlation matrix for rows of an R data frame, we can follow the below steps −First of all, create a data frame.Then, use cor function with transposed data frame to find the correlation matrix for rows.Example1Let's create a data frame as shown below − Live Demo> x1 x2 x3 x4 x5 df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 x2 x3 x4 x5 1 0.23392099 -0.0919377 0.4623323 -0.5209734 0.1769501 ... Read More
To find the sum of numbers stored in character vector separated with a special character in R, we can follow the below steps −First of all, create a vector having numbers stored in character vector separated with a special character.Then, use sapply and strsplit function to find the sum of numbers.Example1Create a vector with numbers stored in character vector separated with hyphen − Live Demo> x1 x1On executing, the above script generates the below output(this output will vary on your system due to randomization) − [1] "11-2-15-19-10" "11-2-15-19-10" "13-12-75-29-18" "15-25-52-91-10" [5] "15-25-52-91-10" "17-27-55-91-100" "13-12-75-29-18" "15-25-52-91-10" [9] "13-12-75-29-18" "10-4-5-19-10" ... Read More
To divide the row values by row mean in R data frame, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame row values by row mean.Create the data frameLet's create a data frame as shown below − Live Demo> x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −x y 1 42 23 2 2 37 3 6 42 4 34 28 5 50 19 6 41 46 7 35 38 8 33 7 9 32 9 ... Read More
To create a horizontal line in ggplot2 graph with larger width in R, we can follow the below steps −First of all, create a data frame.Then, create a plot using ggplot2.After that, create the same plot with geom_hline function having horizontal line defined with yintercept and its width defined with size argumentCreate the data frameLet's create a data frame as shown below − Live Demo> x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y 1 1 43 2 21 17 3 36 9 4 ... Read More
To create a dashed horizontal line in a ggplot2 graph in R, we can follow the below steps −First of all, create a data frame.Then, create a plot using ggplot2.After that, create the same plot with geom_hline function having horizontal line defined with y intercept and its type defined with line type argument.Create the data frameLet's create a data frame as shown below − Live Demo> x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y 1 -0.2622735 0.050784727 2 -0.9453493 ... Read More
To create a histogram with Y-axis values as count using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, use geom_histogram function of ggplot2 package with aes to create the histogram with Y-axis values as count.Create the data frameLet's create a data frame as shown below − Live Demo> df head(df, 20)On executing, the above script generates the below output(this output will vary on your system due to randomization) − x 1 -0.008015477 2 -0.981227322 3 1.144050354 4 0.207177231 5 0.179782914 6 ... Read More