On Jul 5, 2012, at 1:34 PM, David Winsemius wrote:
On Jul 5, 2012, at 1:25 PM, Eiko Fried wrote:
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In order to plot data I need to remove missings.
If I do
data <- na.omit(data)
that will reduce my datase
4 16.59528 0.5981594 NA
A.K.
- Original Message -
From: Eiko Fried
To: r-help@r-project.org
Cc:
Sent: Thursday, July 5, 2012 1:25 PM
Subject: [R] Exclude missing values on only 1 variable
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In or
Be careful!! The plots could be potentially misleading. The problem is the
nature of the missingness. The approach you are taking is based on assuming
MCAR missingness (look it up, if necessary). If that is not the case --
e.g. if there is censoring, MAR, or informative missingness -- the plots
may
On Jul 5, 2012, at 1:25 PM, Eiko Fried wrote:
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In order to plot data I need to remove missings.
If I do
data <- na.omit(data)
that will reduce my dataset to 2% of its original size ;)
So I only need to lis
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In order to plot data I need to remove missings.
If I do
> data <- na.omit(data)
that will reduce my dataset to 2% of its original size ;)
So I only need to listwise delete missings on 3 variables (the ones I a
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