Rowsums ,colsums rowmeans and Columnmeans in R

rowSums function in R sums up all the rows and returns the output

colSums function in R sums up all the columns and returns the output

rowMeans function in R find the mean of all the rows and returns the output

colMeans function in R find the mean of all the columns and returns the output

 

rowSums function in R:

lets use iris data set to depict example on rowSums function in R

# rowSums function in R

rowSums(iris[,-5])

The above function calculates sum of all the rows of the iris data set. We will be neglecting fifth column because it is categorical. As we have 150 rows in the iris data set, the output will be with 150 elements.

So the output will be

[1] 10.2 9.5 9.4 9.4 10.2 11.4 9.7 10.1 8.9 9.6 10.8 10.0 9.3 8.5 11.2 12.0
[17] 11.0 10.3 11.5 10.7 10.7 10.7 9.4 10.6 10.3 9.8 10.4 10.4 10.2 9.7 9.7 10.7
[33] 10.9 11.3 9.7 9.6 10.5 10.0 8.9 10.2 10.1 8.4 9.1 10.7 11.2 9.5 10.7 9.4
[49] 10.7 9.9 16.3 15.6 16.4 13.1 15.4 14.3 15.9 11.6 15.4 13.2 11.5 14.6 13.2 15.1
[65] 13.4 15.6 14.6 13.6 14.4 13.1 15.7 14.2 15.2 14.8 14.9 15.4 15.8 16.4 14.9 12.8
[81] 12.8 12.6 13.6 15.4 14.4 15.5 16.0 14.3 14.0 13.3 13.7 15.1 13.6 11.6 13.8 14.1
[97] 14.1 14.7 11.7 13.9 18.1 15.5 18.1 16.6 17.5 19.3 13.6 18.3 16.8 19.4 16.8 16.3
[113] 17.4 15.2 16.1 17.2 16.8 20.4 19.5 14.7 18.1 15.3 19.2 15.7 17.8 18.2 15.6 15.8
[129] 16.9 17.6 18.2 20.1 17.0 15.7 15.7 19.1 17.7 16.8 15.6 17.5 17.8 17.4 15.5 18.2
[145] 18.2 17.2 15.7 16.7 17.3 15.8

 

 

colSums function in R:

lets use iris data set to depict example on colSums function in R

# colSums function in R

colSums(iris[,-5])

The above function calculates sum of all the columns of the iris data set. We will be neglecting fifth column because it is categorical. As we have 4 columns in the iris data set, the output will be with 4 elements.

So the output will be

Sepal.Length      Sepal.Width     Petal.Length     Petal.Width

876.5                  458.6              563.7                179.9

 

 

rowMeans function in R:

lets use iris data set to depict example on rowMeans function in R

# rowMeans function in R

rowMeans(iris[,-5])

The above function calculates Mean of all the rows of the iris data set. We will be neglecting fifth column because it is categorical. As we have 150 rows in the iris data set, the output will be with 150 elements.

So the output will be

[1] 2.550 2.375 2.350 2.350 2.550 2.850 2.425 2.525 2.225 2.400 2.700 2.500 2.325
[14] 2.125 2.800 3.000 2.750 2.575 2.875 2.675 2.675 2.675 2.350 2.650 2.575 2.450
[27] 2.600 2.600 2.550 2.425 2.425 2.675 2.725 2.825 2.425 2.400 2.625 2.500 2.225
[40] 2.550 2.525 2.100 2.275 2.675 2.800 2.375 2.675 2.350 2.675 2.475 4.075 3.900
[53] 4.100 3.275 3.850 3.575 3.975 2.900 3.850 3.300 2.875 3.650 3.300 3.775 3.350
[66] 3.900 3.650 3.400 3.600 3.275 3.925 3.550 3.800 3.700 3.725 3.850 3.950 4.100
[79] 3.725 3.200 3.200 3.150 3.400 3.850 3.600 3.875 4.000 3.575 3.500 3.325 3.425
[92] 3.775 3.400 2.900 3.450 3.525 3.525 3.675 2.925 3.475 4.525 3.875 4.525 4.150
[105] 4.375 4.825 3.400 4.575 4.200 4.850 4.200 4.075 4.350 3.800 4.025 4.300 4.200
[118] 5.100 4.875 3.675 4.525 3.825 4.800 3.925 4.450 4.550 3.900 3.950 4.225 4.400
[131] 4.550 5.025 4.250 3.925 3.925 4.775 4.425 4.200 3.900 4.375 4.450 4.350 3.875
[144] 4.550 4.550 4.300 3.925 4.175 4.325 3.950

 

 

colMeans function in R:

lets use iris data set to depict example on colMeans function in R

# colMeans function in R

colMeans(iris[,-5])

The above function calculates mean of all the columns of the iris data set. We will be neglecting fifth column because it is categorical. As we have 4 columns in the iris data set, the output will be with 4 elements.

So the output will be

Sepal.Length     Sepal.Width      Petal.Length      Petal.Width

5.843333            3.057333          3.758000          1.199333

 

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