What is the mean of the Ozone column in this dataset? Exclude missing values (coded as NA) from this calculation.

There is no information in the Coursera lecture notes on how to calculate the mean from a column of data. I Google search for “R calculate mean exclude missing values”:

Some helpful links and info:

[1] http://www.statmethods.net/input/missingdata.html

## Excluding Missing Values from Analyses

Arithmetic functions on missing values yield missing values.

`x <- c(1,2,NA,3)`

mean(x) # returns NA

mean(x, na.rm=TRUE) # returns 2

The function **complete.cases()** returns a logical vector indicating which cases are complete.

`# list rows of data that have missing values`

mydata[!complete.cases(mydata),]

The function **na.omit()** returns the object with listwise deletion of missing values.

`# create new dataset without missing data`

newdata <- na.omit(mydata)

[2] https://stat.ethz.ch/pipermail/r-help/2007-November/146886.html

The following series of commands end up working:

This produced an integer matrix of 153 values, which includes missing values.

Then,

This puts the data back into another format. An attempt to take the mean of the column results in an error (below). So, I put them back into a matrix with another u<-cbind(u) command.

The result is this, which is the correct answer for the quiz: