Many basic summary stats in R will not work (i.e. usually return an NA) if
there are NAs in the data unless you explicitylauthorize it to do so.
With your data set df
with(df, mean(Dat2, na.rm = TRUE))
[1] 5
This by the way is functionally the same as
mean(df$Dat2, na.rm = TRUE)
It's just easier to type the first one
In other cases R will do not object to the NA's
summary(df)
Dat1 Dat2 Dat3
Min. :1.0 Min. :3 Min. :4.00
1st Qu.:2.0 1st Qu.:4 1st Qu.:4.75
Median :3.0 Median :5 Median :5.00
Mean :4.4 Mean :5 Mean :5.75
3rd Qu.:7.0 3rd Qu.:6 3rd Qu.:6.00
Max. :9.0 Max. :7 Max. :9.00
NA's :2 NA's :1
John Kane
Kingston ON Canada
> -----Original Message-----
> From: t...@vims.edu
> Sent: Thu, 14 Apr 2016 21:33:31 +0000
> To: r-help@r-project.org
> Subject: [R] Unequal column lengths
>
> Hello,
>
> Ive tried several times to learn R, but have never gotten past a
> particular gate. My data are organized by column in Excel, with column
> headers in the first row. The columns are of unequal lengths. I export
> them as CSV, then import the CSV file into R. I wish to summarize the
> data by column. R inserts NA for missing values, then refuses to operate
> on columns with NA. R is importing my data into a data frame, and I
> realize that is inappropriate for what I want to do.
>
> How can I import my data so that I can work on columns of unequal length?
> The first thing I would like to do is generate a table containing mean,
> median, mode, standard deviation, min, max and count, all per column.
>
> Thank you, Tom
>
> Example data
> Dat1 Dat2 Dat3
> 1 1 5 4
> 2 7 7 9
> 3 3 3 5
> 4 2 NA 5
> 5 9 NA NA
>
> [[alternative HTML version deleted]]
>
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