Programming Articles - Page 1146 of 3363

To merge two data frames of different length having same values in all columns but at different positions, we can follow the below steps −First of all, create two data frames.Then, merge them using merge function with all argument set to FALSE.Create the data frameLet's create a data frame as shown below − Live Demo> x y z df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) −Output   x y z 1  2 3 5 2  3 3 2 3  5 3 1 4  1 2 3 5  1 3 2 ... Read More

To display ID column values in a scatterplot created with ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot using ggplot2.After that, create the same plot with label argument inside aes and add the geom_text function.Create the data frameLet's create a data frame as shown below − Live Demo> ID x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −  ID     x         y 1 1   -0.6980655  0.4815529 2 2    1.0943027  0.2476090 ... Read More

To remove rows from an R data frame based on frequency of values in grouping column, we can follow the below steps −First of all, create a data frame.Then, remove rows based on frequency of values in grouping column using filter and group_by function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demo> Group Rank df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −  Group  Rank 1    IV 7 2     I 8 3    IV 2 4     I ... Read More

To combine multiple R data frames that contains one common column, we can follow the below steps −First of all, create a number of data frames.Then, use join_all function from plyr package to combine the data frames.Create the data frameLet's create a data frame as shown below − Live Demo> x y1 df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) −   x y1 1  A  6 2  B 10 3  A  4 4  C  5 5  C  3 6  C  6   7  B  2 8  B 10 9  D ... Read More

To remove row that contains maximum for each column in R data frame, we can follow the below steps −First of all, create a data frame.Then, remove the rows having maximum for each column using lapply and which.max function.Create the data frameLet's create a data frame as shown below − Live Demo> x1 x2 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −   x1 x2 1  9  10 2  1  9 3  8  9 4  7  6 5  4 10 6  4  7 7  8  8 8  5 13 9 ... Read More

To change the order of one column data frame and get the output in data frame format in R, we can follow the below steps −First of all, create a data frame.Then, use order function to change the order of column with drop argument set to FALSECreate the data frameLet's create a data frame as shown below − Live Demo> x df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −             x 1  -0.13734270 2  -1.02796577 3   1.40171778 4  -0.45367796 5   0.06634050 6  -1.27974403 ... Read More

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