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How to create stacked barplot using barplot function in R?
To create a stacked barplot using barplot function we need to use matrix instead of a data frame object because in R barplot function can be used for a vector or for a matrix only. We must be very careful if we want to create a stacked bar plot using barplot function because bar plots are created for count data only. Here, you will see some examples of count as well as continuous data, carefully read the graphs and understand how the graphs are different from each other.
Example1
M1<−matrix(rnorm(40),ncol=4) M1
Output
[,1] [,2] [,3] [,4] [1,] −1.3035243 1.3221939 1.9557782 0.1202694 [2,] −1.2548522 −1.7679306 0.5101073 0.9979115 [3,] 0.1095688 −1.5652809 1.1426236 −0.2278059 [4,] 0.6143122 −0.6680945 −0.9518161 0.7849978 [5,] 0.7078449 0.2490338 −1.1855153 0.3580386 [6,] −1.3651111 −1.2632633 −0.7954036 0.5127274 [7,] −0.4638549 −0.9650625 0.7063811 −2.2920743 [8,] −0.3006626 0.6249937 −0.5921453 0.5214382 [9,] 0.5874841 0.1630416 1.4858325 0.2483941 [10,] −0.5604357 −2.1200705 1.7315785 0.4596253
Example
barplot(M1)
Output
Example2
M2<−matrix(rpois(40,10),ncol=4) M2
Output
[,1] [,2] [,3] [,4] [1,] 12 11 11 8 [2,] 9 14 7 5 [3,] 11 6 8 14 [4,] 5 10 10 9 [5,] 8 8 14 10 [6,] 12 12 12 11 [7,] 6 15 4 11 [8,] 12 6 10 10 [9,] 6 10 11 11 [10,] 13 7 15 7
Example
barplot(M2)
Output
Example3
M3<−matrix(sample(0:9,100,replace=TRUE),ncol=10) M3
Output
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 2 8 7 4 3 2 1 1 1 4 [2,] 3 6 9 7 8 3 7 2 5 7 [3,] 7 1 3 9 7 9 7 0 5 7 [4,] 1 1 3 5 0 9 3 5 8 6 [5,] 4 2 6 2 3 8 4 8 2 8 [6,] 3 6 2 9 1 5 1 9 6 5 [7,] 2 1 9 3 6 8 1 3 2 2 [8,] 4 0 2 8 4 7 4 6 6 4 [9,] 0 6 9 9 7 5 8 2 0 7 [10,] 1 3 5 3 9 7 8 4 0 3
Example
barplot(M3)
Output
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