Hi all,
Thank you for taking the time to read my message. I'm trying to make a
figure that plots p-values by a range of different adjustment values.
(Using the **logit** function in package **car**)
My Statistical analyses were conducted on probability estimates ranging
from 0% to 100%. As it's not ideal to run linear models on percentages that
are bounded between 0 and 1, these estimates were logit transformed.
However, this introduces a researcher degree of freedom. In Package
**Car**, the logit transformation code is
logit(p = doc$value, adjust = 0.025)
logit definition/Description
Compute the logit transformation of proportions or percentages.
Usage
logit(p, percents=range.p[2] > 1, adjust)
Arguments
p a numeric vector or array of proportions or percentages.
percents TRUE for percentages.
adjust adjustment factor to avoid proportions of 0 or 1; defaults to
0 if there are no such proportions in the data, and to .025 if there are.)
I chose the default adjustment factor of .025, but I need to determine at
what point my values are greater than .05 to show I did not choose an
ajustment value that makes my results significant.
Ultimately, I want to find the range of adjustment factors do we get P <
0.05?And at what point do we get P > 0.05?
## The final product I'm looking for is a figure with the following
features:
## 1) Adjustment factor on the x-axis
## 2) P value on the y-axis
Does anyone know how to do this? Thank you so much in advance.
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