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I generally use SAS, but am asking my research assistant to look at a dataset in R to look for out of range variables, non-normal distributions, etc. before we get into data analysis.
Rather than have her put in each variable individually, is there a way to ask for ALL (or at least a large set of) variables in the dataset?
For example, instead of:
Can we just do something similar to: hist(var1-var3)?
At a minimum it seems reasonable for tobacco companies to be required to avoid marketing to children.
I'm trying to compute Intraclass correlations with two raters providing ratings (between 1 to 7) on a very small dataset (N=8; hardly ideal, I know).
When I run the ICC, I get .000 even though there is clearly reasonable agreement (see below). Is this because Rater2 gave all the same ratings? Is there anything I can do to to get an accurate ICC estimate?
Many thanks in advance!
An interesting, research-based, list of ideas for being productive at work.
Fears that players’ children, and young fans, will follow their lead are well founded. A survey done by the Centers for Disease Control and Prevention in 2009 found that 15 percent of high school boys were using smokeless tobacco, a 36 percent increase from 2003.
#tobacco #baseball #MLB
This short video is worth every second of your time. I hope you'll watch.
...studies have shown that productivity levels fall dramatically when you’re asleep. While sleeping, you will be hard pressed to succeed in writing that paper or responding to those emails....
Collaborative efforts help mental health patients quit smoking
To combat reliance on tobacco in mental health populations, experts agree that mental health services and government-sponsored tobacco contr
Shane Spencer imposter 'admits' to steroid use in talk-radio hoax
A caller posing as former Yankees outfielder Shane Spencer went on an ESPN radio affiliate and pretended to confess to steroid use.