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To set the position of legend of a ggplot2 graph to left-top side in R, we can follow the below steps −First of all, create a data frame.Then, create a plot using ggplot2 with legend.After that, add theme function to the ggplot2 graph to change the position of legend.Create the data frameLet's create a data frame as shown below − Live Demo> x y Grp df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y Grp 1 1.534536456 ... Read More
To divide the row values by row minimum in R’s data.table object, we can follow the below steps −First of all, create a data.table object.Then, use apply function to divide the data.table object row values by row minimum.Create the data.table objectLet’s create a data.table object as shown below −> library(data.table) > x y z DT DTOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y z 1: 4 1 3 2: 4 3 1 3: 1 3 5 4: 1 5 5 5: 3 3 1 6: 3 ... Read More
To divide matrix row values by row minimum 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 minimum.Create the matrixLet’s create a matrix as shown below − Live Demo> M MOn executing, the above script generates the below output(this output will vary on your system due to randomization) − [,1] [,2] [,3] [1,] 16 1 18 [2,] 18 12 1 [3,] 12 19 19 [4,] 7 2 18 [5,] 10 14 16 [6,] 8 4 8 [7,] 15 14 4 [8,] 2 1 17 [9,] 11 12 8 [10,] 11 19 6 [11,] 8 2 7 [12,] 8 14 1 [13,] 5 19 18 [14,] 17 14 6 [15,] 13 12 18 [16,] 1 19 14 [17,] 9 19 17 [18,] 10 11 6 [19,] 3 2 2 [20,] 18 15 9 [21,] 11 18 11 [22,] 4 19 7 [23,] 3 9 19 [24,] 12 7 19 [25,] 5 5 2Divide the matrix row values by row minimumUsing apply function to divide the row values of M by row minimum − Live Demo> M M_new M_newOutput [,1] [,2] [,3] [1,] 16.000000 1.000000 18.000000 [2,] 18.000000 12.000000 1.000000 [3,] 1.000000 1.583333 1.583333 [4,] 3.500000 1.000000 9.000000 [5,] 1.000000 1.400000 1.600000 [6,] 2.000000 1.000000 2.000000 [7,] 3.750000 3.500000 1.000000 [8,] 2.000000 1.000000 17.000000 [9,] 1.375000 1.500000 1.000000 [10,] 1.833333 3.166667 1.000000 [11,] 4.000000 1.000000 3.500000 [12,] 8.000000 14.000000 1.000000 [13,] 1.000000 3.800000 3.600000 [14,] 2.833333 2.333333 1.000000 [15,] 1.083333 1.000000 1.500000 [16,] 1.000000 19.000000 14.000000 [17,] 1.000000 2.111111 1.888889 [18,] 1.666667 1.833333 1.000000 [19,] 1.500000 1.000000 1.000000 [20,] 2.000000 1.666667 1.000000 [21,] 1.000000 1.636364 1.000000 [22,] 1.000000 4.750000 1.750000 [23,] 1.000000 3.000000 6.333333 [24,] 1.714286 1.000000 2.714286 [25,] 2.500000 2.500000 1.000000
To find the critical value of F for regression anova in R, we can follow the below steps −First of all, create a data frame.Then, create the regression model.After that, find the critical value of F statistic using qf function.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 5 5 2 0 9 3 1 3 4 3 5 5 2 5 6 2 4 7 3 6 8 4 6 ... Read More
To convert data frame values to their rank in R, we can follow the below steps −First of all, create a data frame.Then, find the rank of each value using rank function with lapply.Create the data frameLet's create a data frame as shown below − Live Demo> x1 y1 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 y1 1 -0.9045608 1.95315551 2 -1.6222122 -1.19880638 3 0.8618855 -0.33643175 4 -0.3547085 -0.18097356 5 -0.3043621 -0.60342210 6 0.5606001 -0.83618995 7 -1.1752752 ... Read More
To create a new level using unique levels of a factor in R data frame, we can follow the below steps −First of all, create a data frame with factor column.Then, create a new level for the unique values in the factor column using table and levels function.Create the data frameLet's create a data frame as shown below − Live Demo> Factor df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −Factor 1 O 2 D 3 K 4 M 5 C 6 M 7 K 8 F 9 L 10 ... Read More
To create violin plot for categories with grey color palette using ggplot2, we can follow the below steps −First of all, create a data frame.Then, create the violin plot for categories with default color of violins.Create the violin plot for categories with color of violins in grey palette.Creating the data frameLet's create a data frame as shown below − Live Demo> Group Score df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − Group Score 1 Second 405 2 Third 947 3 First 78 ... Read More
To divide the data frame row values by row standard deviation in R, 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 standard deviation.Creating 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 1.48 0.86 2 -0.14 -0.58 3 -0.25 1.22 4 0.18 0.25 5 0.50 0.68 6 -1.34 ... Read More
To subtract column values from column means in R data frame, we can follow the below steps −First of all, create a data frame.Then, find the column means using colMeans function.After that, subtract column values from column means.Creating the data frameLet's create a data frame as shown below − Live Demo> x1 x2 x3 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 x2 x3 1 54 73 57 2 79 52 92 3 87 51 47 4 13 12 1 5 70 90 19 6 15 99 ... Read More
We are given two vectors let’s say vector A and vector B containing x, y, and directions, and the task is to find the cross product and dot product of the two given vector arrays.What is a vector?In mathematics, a quantity that has a magnitude and a direction is known as a vector whereas a quantity that has only one value as magnitude is known as a scalar. The point from where the vector starts is known as the initial point and the point where the vector ends is known as the terminal point. The distance between the initial point ... Read More