We can see the p-value and r-squared value using summary function Let us explain with an example x_data = cumsum(c(0, runif(100, -1, +1))) y_data = cumsum(c(0, runif(100, -1, +1))) fit = lm(y_data ~ x_data) summary(fit) Now summary function will show the following values Standard error,estimates, t-values, p-values.
Answered Dec 21, 2019 · 1.0K Views Read answer →
Let us assign to a variable bill bill=c(46,33,39,37,46,30,48,32,49,35,30,48) sum(bill) To get the months he spent greater than 40 dollars, bill_40=sum(bill>40) To get the percentage of it, z=bill_40/length(bill) z*100
Answered Dec 10, 2019 · 949 Views Read answer →
Using dplyr, we can reorder a dataframe based on any value of a column using arrange() function which can reorder any values in ascending or descending order. For now as of example, let us explain with the mtcars dataset that is built in R. head(mtcars) Now we reorder the Data Frame by cyl first, then by descending…
Answered Nov 7, 2019 · 954 Views Read answer →
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