I am hoping for some advice on the following matters.
I have a csv data file with 153 variables x 92 rows. To determine what
the variables looked like I ran the summary command. One variable had a
large number of missing values 54/92. For some reason, all subsequent 74
variables are reported as having 92 NA values, irrespective of whether the
original csv variable was complete or not.
Below are the commands I ran:
> study1dat <- read.csv("c:\\study1r.csv",header=T)
> attach(study1dat)
> names(study1dat)
> summary(study1dat)
The second puzzling issue, is that one variable with no missing values is
reported in R as having 3 missing values, whereas there are no missing
values in the csv file.
The only errors in reading the data I received were:
The following object(s) are masked from package:stats :
time
The following object(s) are masked from package:graphics :
screen
The following object(s) are masked from package:datasets :
sleep
The following object(s) are masked from package:base :
pipe
I am happy to send the csv file if required. Any advice that can offered is
appreciated,
Bob
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
