s**f
发帖数: 365 | 1 请大家帮我回答一下！感谢！
regression模型中ordinal的independent var，比如Education，有6个level：低于8年
纪，8年级毕业，一些高中，高中毕业，一些大学，大学毕业。
先想问一下，因为有6个级别，是不是先要test有没有quad，cubic，tet和quin的
function（X^2,X^3,X^4,X^5）存在？
还有一个问题就是，如果是用effect或者reference coding的话，那就损失了ordinal
的信息，是不是干脆就approximate，code为1，2，3，4，5，6？这样做需要什么条件
？
谢谢！ |
A*******s
发帖数: 3942 | 2 it's usual to treat ordinal variable as categorical. In ur case, it's also
ok to code them from 1 to 6, especially since the variable look like equally
spaced in terms of "years of education".
ordinal
【在 s**f 的大作中提到】
: 请大家帮我回答一下！感谢！
: regression模型中ordinal的independent var，比如Education，有6个level：低于8年
: 纪，8年级毕业，一些高中，高中毕业，一些大学，大学毕业。
: 先想问一下，因为有6个级别，是不是先要test有没有quad，cubic，tet和quin的
: function（X^2,X^3,X^4,X^5）存在？
: 还有一个问题就是，如果是用effect或者reference coding的话，那就损失了ordinal
: 的信息，是不是干脆就approximate，code为1，2，3，4，5，6？这样做需要什么条件
: ？
: 谢谢！
|
s**f
发帖数: 365 | 3 Thank you for the reply!
In your projects, do you test quadratic and cubic functions of these
variables? Or more often, just assume they are not there?
equally
【在 A*******s 的大作中提到】
: it's usual to treat ordinal variable as categorical. In ur case, it's also
: ok to code them from 1 to 6, especially since the variable look like equally
: spaced in terms of "years of education".
:
: ordinal
|
A*******s
发帖数: 3942 | 4 it's a judgmental call. linear models are everywhere but u can always
include curvature into ur models as long as it makes sense.
【在 s**f 的大作中提到】
: Thank you for the reply!
: In your projects, do you test quadratic and cubic functions of these
: variables? Or more often, just assume they are not there?
:
: equally
|
z**********i
发帖数: 12276 | 5 越简单越好吧.
【在 s**f 的大作中提到】
: Thank you for the reply!
: In your projects, do you test quadratic and cubic functions of these
: variables? Or more often, just assume they are not there?
:
: equally
|
s**f
发帖数: 365 | 6 是的
我已经试过了，quad，cubic都drop out了。
把Education当成一个continuous的var，值是123456就可以了。应该是比code成dummy
或者effect要好。
【在 A*******s 的大作中提到】
: it's a judgmental call. linear models are everywhere but u can always
: include curvature into ur models as long as it makes sense.
|
s**f
发帖数: 365 | 7 请大家帮我回答一下！感谢！
regression模型中ordinal的independent var，比如Education，有6个level：低于8年
纪，8年级毕业，一些高中，高中毕业，一些大学，大学毕业。
先想问一下，因为有6个级别，是不是先要test有没有quad，cubic，tet和quin的
function（X^2,X^3,X^4,X^5）存在？
还有一个问题就是，如果是用effect或者reference coding的话，那就损失了ordinal
的信息，是不是干脆就approximate，code为1，2，3，4，5，6？这样做需要什么条件
？
谢谢！ |
A*******s
发帖数: 3942 | 8 it's usual to treat ordinal variable as categorical. In ur case, it's also
ok to code them from 1 to 6, especially since the variable look like equally
spaced in terms of "years of education".
ordinal
【在 s**f 的大作中提到】
: 请大家帮我回答一下！感谢！
: regression模型中ordinal的independent var，比如Education，有6个level：低于8年
: 纪，8年级毕业，一些高中，高中毕业，一些大学，大学毕业。
: 先想问一下，因为有6个级别，是不是先要test有没有quad，cubic，tet和quin的
: function（X^2,X^3,X^4,X^5）存在？
: 还有一个问题就是，如果是用effect或者reference coding的话，那就损失了ordinal
: 的信息，是不是干脆就approximate，code为1，2，3，4，5，6？这样做需要什么条件
: ？
: 谢谢！
|
s**f
发帖数: 365 | 9 Thank you for the reply!
In your projects, do you test quadratic and cubic functions of these
variables? Or more often, just assume they are not there?
equally
【在 A*******s 的大作中提到】
: it's usual to treat ordinal variable as categorical. In ur case, it's also
: ok to code them from 1 to 6, especially since the variable look like equally
: spaced in terms of "years of education".
:
: ordinal
|
A*******s
发帖数: 3942 | 10 it's a judgmental call. linear models are everywhere but u can always
include curvature into ur models as long as it makes sense.
【在 s**f 的大作中提到】
: Thank you for the reply!
: In your projects, do you test quadratic and cubic functions of these
: variables? Or more often, just assume they are not there?
:
: equally
|
|
|
z**********i
发帖数: 12276 | 11 越简单越好吧.
【在 s**f 的大作中提到】
: Thank you for the reply!
: In your projects, do you test quadratic and cubic functions of these
: variables? Or more often, just assume they are not there?
:
: equally
|
s**f
发帖数: 365 | 12 是的
我已经试过了，quad，cubic都drop out了。
把Education当成一个continuous的var，值是123456就可以了。应该是比code成dummy
或者effect要好。
【在 A*******s 的大作中提到】
: it's a judgmental call. linear models are everywhere but u can always
: include curvature into ur models as long as it makes sense.
|
s**f
发帖数: 365 | 13 Please help
How to add a "_A" to all the names of the variables in the dataset?
Thank you! |
P****D
发帖数: 11146 | 14 Why do you want to do that?
I have done something similar before using macros. Don't know if my approach
is the easiest.
First use PROC CONTENTS to export all the variable names into a dataset, so
all these variable names are values of a string variable. Then add "_A" to
these values (Google if you don't know how to manipulate string variables).
Then use loop to generate a string macro variable whose CONTENT looks like
this "rename x = x_A; rename y=y_A;". Then you can execute that macro
variable as if it were SAS command.
Very tedious job. Don't do it until you have a good reason...
【在 s**f 的大作中提到】
: Please help
: How to add a "_A" to all the names of the variables in the dataset?
: Thank you!
|
P****D
发帖数: 11146 | 15 Or you can do this:
http://support.sas.com/resources/papers/proceedings09/075-2009.
【在 s**f 的大作中提到】
: Please help
: How to add a "_A" to all the names of the variables in the dataset?
: Thank you!
|
s**f
发帖数: 365 | 16 Thank you for the suggestion!
I have a baseline survey and a followup survey. They have identical
variables. I would like to merge the two dataset and do some analysis. So I
am thinking renaming the variables. For example, variable OC3 in the 1st and
2nd survey will be renamed to OC3_A and OC3_B, respectively.
Is there a better way to approach this problem?
approach
so
.
【在 P****D 的大作中提到】
: Why do you want to do that?
: I have done something similar before using macros. Don't know if my approach
: is the easiest.
: First use PROC CONTENTS to export all the variable names into a dataset, so
: all these variable names are values of a string variable. Then add "_A" to
: these values (Google if you don't know how to manipulate string variables).
: Then use loop to generate a string macro variable whose CONTENT looks like
: this "rename x = x_A; rename y=y_A;". Then you can execute that macro
: variable as if it were SAS command.
: Very tedious job. Don't do it until you have a good reason...
|
P****D
发帖数: 11146 | 17 http://support.sas.com/resources/papers/proceedings09/075-2009
I
and
【在 s**f 的大作中提到】
: Thank you for the suggestion!
: I have a baseline survey and a followup survey. They have identical
: variables. I would like to merge the two dataset and do some analysis. So I
: am thinking renaming the variables. For example, variable OC3 in the 1st and
: 2nd survey will be renamed to OC3_A and OC3_B, respectively.
: Is there a better way to approach this problem?
:
: approach
: so
: .
|
s**f
发帖数: 365 | |
P****D
发帖数: 11146 | 19 Baozi!!!
【在 s**f 的大作中提到】
: Great! Thanks!
|
s**f
发帖数: 365 | 20 Sent! Thanks！
【在 P****D 的大作中提到】
: Baozi!!!
|
