Allocating treatment to the each subjects [closed]
I have four strata (stratum1
, stratum2
, stratum3
, and stratum4
) and I want to perform this code for each stratum in a loop and add the variable to a data frame
Strat1_Stratum1_Treat <- block_ra(blocks = ProjectData1$Stratum1,
prob = .5, conditions = c("A","B"))
check the nature of the data
r loops
closed as unclear what you're asking by Wimpel, MLavoie, greg-449, Rob, Foo Nov 14 '18 at 14:38
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
I have four strata (stratum1
, stratum2
, stratum3
, and stratum4
) and I want to perform this code for each stratum in a loop and add the variable to a data frame
Strat1_Stratum1_Treat <- block_ra(blocks = ProjectData1$Stratum1,
prob = .5, conditions = c("A","B"))
check the nature of the data
r loops
closed as unclear what you're asking by Wimpel, MLavoie, greg-449, Rob, Foo Nov 14 '18 at 14:38
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
Please tell us what the package you use. Nobody knows where the functionblock_ra
comes from.
– Darren Tsai
Nov 14 '18 at 8:30
add a comment |
I have four strata (stratum1
, stratum2
, stratum3
, and stratum4
) and I want to perform this code for each stratum in a loop and add the variable to a data frame
Strat1_Stratum1_Treat <- block_ra(blocks = ProjectData1$Stratum1,
prob = .5, conditions = c("A","B"))
check the nature of the data
r loops
I have four strata (stratum1
, stratum2
, stratum3
, and stratum4
) and I want to perform this code for each stratum in a loop and add the variable to a data frame
Strat1_Stratum1_Treat <- block_ra(blocks = ProjectData1$Stratum1,
prob = .5, conditions = c("A","B"))
check the nature of the data
r loops
r loops
edited Nov 14 '18 at 8:14
Jackline
asked Nov 14 '18 at 7:32
JacklineJackline
145
145
closed as unclear what you're asking by Wimpel, MLavoie, greg-449, Rob, Foo Nov 14 '18 at 14:38
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
closed as unclear what you're asking by Wimpel, MLavoie, greg-449, Rob, Foo Nov 14 '18 at 14:38
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
Please tell us what the package you use. Nobody knows where the functionblock_ra
comes from.
– Darren Tsai
Nov 14 '18 at 8:30
add a comment |
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
Please tell us what the package you use. Nobody knows where the functionblock_ra
comes from.
– Darren Tsai
Nov 14 '18 at 8:30
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
Please tell us what the package you use. Nobody knows where the function
block_ra
comes from.– Darren Tsai
Nov 14 '18 at 8:30
Please tell us what the package you use. Nobody knows where the function
block_ra
comes from.– Darren Tsai
Nov 14 '18 at 8:30
add a comment |
1 Answer
1
active
oldest
votes
Example Data
blocks <- sample(0:1, 40, TRUE)
data <- as.data.frame(matrix(blocks, 10, 4))
data
# V1 V2 V3 V4
# 1 0 1 1 1
# 2 0 0 0 0
# 3 1 1 0 1
# 4 0 0 0 1
# 5 1 1 1 1
# 6 1 1 0 1
# 7 0 0 0 0
# 8 1 0 0 0
# 9 0 0 1 0
# 10 0 0 0 0
Use lapply()
to conduct a function for each variable.
data[5:8] <- lapply(data, block_ra, prob = .5, conditions = c("A", "B"))
data
# V1 V2 V3 V4 V1.1 V2.1 V3.1 V4.1
# 1 0 1 1 1 A A B B
# 2 0 0 0 0 B B B B
# 3 1 1 0 1 A A A A
# 4 0 0 0 1 B A B B
# 5 1 1 1 1 B B A A
# 6 1 1 0 1 A B B A
# 7 0 0 0 0 B A B A
# 8 1 0 0 0 B B A B
# 9 0 0 1 0 A A B A
# 10 0 0 0 0 A B A B
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Example Data
blocks <- sample(0:1, 40, TRUE)
data <- as.data.frame(matrix(blocks, 10, 4))
data
# V1 V2 V3 V4
# 1 0 1 1 1
# 2 0 0 0 0
# 3 1 1 0 1
# 4 0 0 0 1
# 5 1 1 1 1
# 6 1 1 0 1
# 7 0 0 0 0
# 8 1 0 0 0
# 9 0 0 1 0
# 10 0 0 0 0
Use lapply()
to conduct a function for each variable.
data[5:8] <- lapply(data, block_ra, prob = .5, conditions = c("A", "B"))
data
# V1 V2 V3 V4 V1.1 V2.1 V3.1 V4.1
# 1 0 1 1 1 A A B B
# 2 0 0 0 0 B B B B
# 3 1 1 0 1 A A A A
# 4 0 0 0 1 B A B B
# 5 1 1 1 1 B B A A
# 6 1 1 0 1 A B B A
# 7 0 0 0 0 B A B A
# 8 1 0 0 0 B B A B
# 9 0 0 1 0 A A B A
# 10 0 0 0 0 A B A B
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
add a comment |
Example Data
blocks <- sample(0:1, 40, TRUE)
data <- as.data.frame(matrix(blocks, 10, 4))
data
# V1 V2 V3 V4
# 1 0 1 1 1
# 2 0 0 0 0
# 3 1 1 0 1
# 4 0 0 0 1
# 5 1 1 1 1
# 6 1 1 0 1
# 7 0 0 0 0
# 8 1 0 0 0
# 9 0 0 1 0
# 10 0 0 0 0
Use lapply()
to conduct a function for each variable.
data[5:8] <- lapply(data, block_ra, prob = .5, conditions = c("A", "B"))
data
# V1 V2 V3 V4 V1.1 V2.1 V3.1 V4.1
# 1 0 1 1 1 A A B B
# 2 0 0 0 0 B B B B
# 3 1 1 0 1 A A A A
# 4 0 0 0 1 B A B B
# 5 1 1 1 1 B B A A
# 6 1 1 0 1 A B B A
# 7 0 0 0 0 B A B A
# 8 1 0 0 0 B B A B
# 9 0 0 1 0 A A B A
# 10 0 0 0 0 A B A B
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
add a comment |
Example Data
blocks <- sample(0:1, 40, TRUE)
data <- as.data.frame(matrix(blocks, 10, 4))
data
# V1 V2 V3 V4
# 1 0 1 1 1
# 2 0 0 0 0
# 3 1 1 0 1
# 4 0 0 0 1
# 5 1 1 1 1
# 6 1 1 0 1
# 7 0 0 0 0
# 8 1 0 0 0
# 9 0 0 1 0
# 10 0 0 0 0
Use lapply()
to conduct a function for each variable.
data[5:8] <- lapply(data, block_ra, prob = .5, conditions = c("A", "B"))
data
# V1 V2 V3 V4 V1.1 V2.1 V3.1 V4.1
# 1 0 1 1 1 A A B B
# 2 0 0 0 0 B B B B
# 3 1 1 0 1 A A A A
# 4 0 0 0 1 B A B B
# 5 1 1 1 1 B B A A
# 6 1 1 0 1 A B B A
# 7 0 0 0 0 B A B A
# 8 1 0 0 0 B B A B
# 9 0 0 1 0 A A B A
# 10 0 0 0 0 A B A B
Example Data
blocks <- sample(0:1, 40, TRUE)
data <- as.data.frame(matrix(blocks, 10, 4))
data
# V1 V2 V3 V4
# 1 0 1 1 1
# 2 0 0 0 0
# 3 1 1 0 1
# 4 0 0 0 1
# 5 1 1 1 1
# 6 1 1 0 1
# 7 0 0 0 0
# 8 1 0 0 0
# 9 0 0 1 0
# 10 0 0 0 0
Use lapply()
to conduct a function for each variable.
data[5:8] <- lapply(data, block_ra, prob = .5, conditions = c("A", "B"))
data
# V1 V2 V3 V4 V1.1 V2.1 V3.1 V4.1
# 1 0 1 1 1 A A B B
# 2 0 0 0 0 B B B B
# 3 1 1 0 1 A A A A
# 4 0 0 0 1 B A B B
# 5 1 1 1 1 B B A A
# 6 1 1 0 1 A B B A
# 7 0 0 0 0 B A B A
# 8 1 0 0 0 B B A B
# 9 0 0 1 0 A A B A
# 10 0 0 0 0 A B A B
answered Nov 14 '18 at 8:25
Darren TsaiDarren Tsai
2,1261427
2,1261427
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
add a comment |
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
Awesome it worked perfectly
– Jackline
Nov 14 '18 at 16:24
add a comment |
It would be helpful if you could share the smallest amount of data to reproduce the question
– Raoul Van Oosten
Nov 14 '18 at 7:56
Please tell us what the package you use. Nobody knows where the function
block_ra
comes from.– Darren Tsai
Nov 14 '18 at 8:30