m********9
发帖数: 208 | 1 I have a data set as follows:
There is an operator having four levels: A, B, C and D, each level has two
repeats, called R1 and R2, respectively. Then for each combination of every
level and every repeat (e.g., A and R1, A and R2,....), I have 30
observations measured based on a different time period (T1, T2, ..., T30).
Here, we have two experimental subjects for each level of operators. That is
, we have a subject in R1 and a subject in R2.
The data look like
_____________________________________________________
LEVEL
A B C D
R1 R2 R1 R2 R1 R2 R1 R2
T1 3.1 2.2 1.1 2.3 1.5 4.4 1.0 2.2
T2 2.1 1.2 1.0 1.3 0.2 2.1 2.1 1.2
T3 ....
T4 ....
. ....
. ....
. ....
T30 ....
________________________________________________________
We are interested in testing whether the operator is significant. Any idea
about this design will be greatly appreciated.
Bao zi xiexie. | J*X
发帖数: 1001 | 2 experimental subjects是不是没介绍清楚？虽然这个应该是repeated measures
design.
every
【在 m********9 的大作中提到】
: I have a data set as follows:
: There is an operator having four levels: A, B, C and D, each level has two
: repeats, called R1 and R2, respectively. Then for each combination of every
: level and every repeat (e.g., A and R1, A and R2,....), I have 30
: observations measured based on a different time period (T1, T2, ..., T30).
: Here, we have two experimental subjects for each level of operators. That is
: , we have a subject in R1 and a subject in R2.
: The data look like
: _____________________________________________________
: LEVEL
| m********9
发帖数: 208 | 3 Thanks for your reply. This does not look like one way anova with repeated
measures since the experimental subjects are the exact same as the repeats.
That is, under each level of operators, an experimental subject is just a
repeat. For example, in level A, we have a subject in R1 and a subject in R2
. In total, we have two subjects for each level of operators. | J*X
发帖数: 1001 | 4 哦，总共2个subjects?那加2个block effect进去，你这还没有nested的问题，因为反
复就是那两个。
.
R2
【在 m********9 的大作中提到】
: Thanks for your reply. This does not look like one way anova with repeated
: measures since the experimental subjects are the exact same as the repeats.
: That is, under each level of operators, an experimental subject is just a
: repeat. For example, in level A, we have a subject in R1 and a subject in R2
: . In total, we have two subjects for each level of operators.
| m********9
发帖数: 208 | 5 谢谢JTX。每个LEVEL OF OPERATOR就有2个subjects. 个人感觉是Mixed randomized,
repeated-measures design. | u*******r
发帖数: 2855 | 6 你这个experiment design对time是怎么处理的？是当作一个effect吗？如果是，是当
作fixed effect还是random effect处理？
另外你的time是nest在operator这个factor里面的，而不是randomized的，似乎应该作
为split plot design来处理
every
is
【在 m********9 的大作中提到】
: I have a data set as follows:
: There is an operator having four levels: A, B, C and D, each level has two
: repeats, called R1 and R2, respectively. Then for each combination of every
: level and every repeat (e.g., A and R1, A and R2,....), I have 30
: observations measured based on a different time period (T1, T2, ..., T30).
: Here, we have two experimental subjects for each level of operators. That is
: , we have a subject in R1 and a subject in R2.
: The data look like
: _____________________________________________________
: LEVEL
| m********9
发帖数: 208 | 7 Thank uniwander for your very nice comment.I plan to use one-way ANOVA for
functional data to analyze, since I just got information that R1 and R2 come
from the same person. |
|
