Here is my dataframe with 1000 rows:
employee_id weigth p-value
100 150
101 200
102 300
103 180
.
My question:
how can I calculate the p-value in R for each employee? the
What is your null hypothesis? What is your alternate hypothesis? What
is the test statistic? Why do you want a p-value?
Hadley
On Thu, Jul 22, 2010 at 5:40 PM, jd6688 jdsignat...@gmail.com wrote:
Here is my dataframe with 1000 rows:
employee_id weigth p-value
100
103180 0.6722391
(You might want to think about the spelling of 'weigth' a bit more.)
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of jd6688
Sent: Friday, 23 July 2010 8:41 AM
To: r-help@r-project.org
Subject: [R] p-VALUE
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Leon Yee
Sent: Tuesday, November 10, 2009 11:23 PM
To: R help
Subject: [R] p-value calculation on a joint distribution
Dear R users,
For a uni-variable distribution represented in a numerical vector,
we can obtain a distribution function using 'ecdf', and then calculate
corresponding p-values. But if I have a 2-column dataframe representing
a bi-variable joint distribution, given a pair of values, how can
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