trans_level: change the catogory variables into numbers level.
In swang3/timestudy: summarize and analyze data
Description
Usage
Arguments
Value
Author(s)
Description
when we initially get data, the catogory varibles may be a range varible or some other things that indicate the level.If we change these varibles into numbers, it will be more informative and we can order the data in terms of these numbers level and calculate the correlation index with the method of spearman.
Usage
1
trans_level(data,x)
Arguments
data
data you have already collected
x
the number of the column you want to change
Value
data
data with more informative data value
Author(s)
"Sheng Wang"
swang3/timestudy documentation built on May 29, 2019, 9:52 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s)
Description
when we initially get data, the catogory varibles may be a range varible or some other things that indicate the level.If we change these varibles into numbers, it will be more informative and we can order the data in terms of these numbers level and calculate the correlation index with the method of spearman.
Usage
1 | trans_level(data,x)
|
Arguments
data |
data you have already collected |
x |
the number of the column you want to change |
Value
data |
data with more informative data value |
Author(s)
"Sheng Wang"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.