Displaying 3 results from an estimated 3 matches for "89.66667".
2012 Apr 03
4
grouping
Hi all,
Assume that I have the following 10 data points.
x=c( 46, 125 , 36 ,193, 209, 78, 66, 242 , 297 , 45)
sort x and get the following
y= (36 , 45 , 46, 66, 78, 125,193, 209, 242, 297)
I want to group the sorted data point (y) into equal number of
observation per group. In this case there will be three groups. The first
two groups will have three observation and the third will
2024 Jun 08
1
Can't compute row means of two columns of a dataframe.
John,
Maybe you can clarify what you want the output to look like. It took me a
while to realize what you may want as it is NOT properly described as
wanting rowsums.
There is a standard function called rowMeans() that probably does what you
want if you want the mean of all rows as in:
> rowMeans(xxxz)
[1] 84.33333 87.00000 89.66667 92.33333 95.00000 97.66667 100.33333
103.66667
2024 Jun 08
3
Can't compute row means of two columns of a dataframe.
I have a data frame with three columns, TotalInches, Low20, High20. For each row of the dataset, I am trying to compute the mean of Low20 and High20.
xxxz <- structure(list(TotalInches =
c(58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76), Low20 = c(84, 87,
90, 93, 96, 99, 102, 106, 109, 112, 116, 119, 122,