There are six pre-described line types available in base R. You can use those for any type of graphics, like plotting for line charts or developing simple shapes. In R base plot functions, two...
Kendall’s Rank Correlation in R, Kendall’s rank correlation coefficient is suitable for the paired ranks as in the case of Spearman’s rank correlation. The condition is that both the variables X and Y be...
Error bar Plot, Error bars are visual representations of the variability of data and used on graphs to suggest the error in a reported measurement. They give a general idea of how precise a...
Kurtosis means bulginess and it is a numerical method in statistics that measures the sharpness of the peak in the distribution. If a frequency distribution curve is more peaked compared to normal peaked curve...
Radar Chart in R, additionally called a spider plot is used to visualize the values over more than one quantitative variable. A radar chart is an informative graphical tool in which multiple variables and...
Kruskal Wallis test in R, Kruskal Wallis test is one of the frequently used methods in nonparametric statistics for analyzing data in one-way classification.
It is equivalent to a one-way analysis of variance in parametric methods.
When we test the identicalness of the k population from which the independent samples have been drawn.
There is no restriction of sample size
Cluster Sampling in R, In most situations, the sampling frame for elementary units of the population is not available, moreover, it is not easy to prepare it. Cluster Meaning, the information is available to groups of items called...
Skewness in Statistics, what is mean by skewness? The lack of symmetry of the tails of a frequency distribution curve is known as skewness. The symmetry of tails means that the frequency of the...
McNemar’s test in R, McNemar’s test to see the effect of some treatment, training, or advertisement which brings about the changes in the attitude of individuals. This test is mainly useful when the measurements...
when we have a dataset and to get clear idea about each parameter the summary of a variable is important.
Summarized data will provide the clear idea about the data set.
In this tutorial we are going to talk about summarize () function from dplyr package.
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