number of items to replace is not a multiple of replacement length + several plots in same graph error












0














I'm trying to draw several plots in the same graph in Rstudio, but to no avail. This is the code I'm using:



 for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(i in 2:(N+1)){
B[i] <- B[i-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[i] <- x+B-(t/T)*(B[N+1]-y+x)

df <- melt(data = BB, id.vars = "t")
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()

}


Using ggplot2 as I seen recomended in several Stackoverflow post yieds "number of items to replace is not a multiple of replacement length".



I've seen several answers to that question but being quite a noob in R I don't see how it applies to my problem. Please and thank you in advance.










share|improve this question




















  • 2




    You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
    – Niek
    Nov 20 at 14:38


















0














I'm trying to draw several plots in the same graph in Rstudio, but to no avail. This is the code I'm using:



 for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(i in 2:(N+1)){
B[i] <- B[i-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[i] <- x+B-(t/T)*(B[N+1]-y+x)

df <- melt(data = BB, id.vars = "t")
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()

}


Using ggplot2 as I seen recomended in several Stackoverflow post yieds "number of items to replace is not a multiple of replacement length".



I've seen several answers to that question but being quite a noob in R I don't see how it applies to my problem. Please and thank you in advance.










share|improve this question




















  • 2




    You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
    – Niek
    Nov 20 at 14:38
















0












0








0







I'm trying to draw several plots in the same graph in Rstudio, but to no avail. This is the code I'm using:



 for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(i in 2:(N+1)){
B[i] <- B[i-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[i] <- x+B-(t/T)*(B[N+1]-y+x)

df <- melt(data = BB, id.vars = "t")
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()

}


Using ggplot2 as I seen recomended in several Stackoverflow post yieds "number of items to replace is not a multiple of replacement length".



I've seen several answers to that question but being quite a noob in R I don't see how it applies to my problem. Please and thank you in advance.










share|improve this question















I'm trying to draw several plots in the same graph in Rstudio, but to no avail. This is the code I'm using:



 for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(i in 2:(N+1)){
B[i] <- B[i-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[i] <- x+B-(t/T)*(B[N+1]-y+x)

df <- melt(data = BB, id.vars = "t")
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()

}


Using ggplot2 as I seen recomended in several Stackoverflow post yieds "number of items to replace is not a multiple of replacement length".



I've seen several answers to that question but being quite a noob in R I don't see how it applies to my problem. Please and thank you in advance.







r ggplot2 plot






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 at 14:18









camille

6,92631427




6,92631427










asked Nov 20 at 14:12









Aaron G.

12




12








  • 2




    You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
    – Niek
    Nov 20 at 14:38
















  • 2




    You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
    – Niek
    Nov 20 at 14:38










2




2




You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
– Niek
Nov 20 at 14:38






You're using the same index i in two different for loops. What kind of object is BB? If you define BB as a list and assign values to it using BB[[i]] maybe you'll get a better idea about what is going on. The error occurs in the BB[i] part of your code.
– Niek
Nov 20 at 14:38














1 Answer
1






active

oldest

votes


















0














How about this:



BB <- list()                                   # define BB as a list
for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(q in 2:(N+1)){ # Change your index from i to q
B[q] <- B[q-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[[i]] <- x+B-(t/T)*(B[N+1]-y+x) # Assign each iteration to a list entry
}

# Exit the for loop
df <- as.data.frame(cbind(unlist(BB), # unlist the values in BB
rep(t,10), # define t variable by simply repeating it
rep(1:10,each= 101))) # define loop id in a similar manner
names(df) <- c('value','t','variable') # give names to the variables
df$variable <- as.factor(df$variable) # turn variable into a factor
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()


The resulting plot:
enter image description here






share|improve this answer





















  • Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
    – Aaron G.
    Nov 21 at 12:37










  • You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
    – Niek
    Nov 21 at 12:53











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1 Answer
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active

oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














How about this:



BB <- list()                                   # define BB as a list
for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(q in 2:(N+1)){ # Change your index from i to q
B[q] <- B[q-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[[i]] <- x+B-(t/T)*(B[N+1]-y+x) # Assign each iteration to a list entry
}

# Exit the for loop
df <- as.data.frame(cbind(unlist(BB), # unlist the values in BB
rep(t,10), # define t variable by simply repeating it
rep(1:10,each= 101))) # define loop id in a similar manner
names(df) <- c('value','t','variable') # give names to the variables
df$variable <- as.factor(df$variable) # turn variable into a factor
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()


The resulting plot:
enter image description here






share|improve this answer





















  • Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
    – Aaron G.
    Nov 21 at 12:37










  • You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
    – Niek
    Nov 21 at 12:53
















0














How about this:



BB <- list()                                   # define BB as a list
for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(q in 2:(N+1)){ # Change your index from i to q
B[q] <- B[q-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[[i]] <- x+B-(t/T)*(B[N+1]-y+x) # Assign each iteration to a list entry
}

# Exit the for loop
df <- as.data.frame(cbind(unlist(BB), # unlist the values in BB
rep(t,10), # define t variable by simply repeating it
rep(1:10,each= 101))) # define loop id in a similar manner
names(df) <- c('value','t','variable') # give names to the variables
df$variable <- as.factor(df$variable) # turn variable into a factor
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()


The resulting plot:
enter image description here






share|improve this answer





















  • Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
    – Aaron G.
    Nov 21 at 12:37










  • You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
    – Niek
    Nov 21 at 12:53














0












0








0






How about this:



BB <- list()                                   # define BB as a list
for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(q in 2:(N+1)){ # Change your index from i to q
B[q] <- B[q-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[[i]] <- x+B-(t/T)*(B[N+1]-y+x) # Assign each iteration to a list entry
}

# Exit the for loop
df <- as.data.frame(cbind(unlist(BB), # unlist the values in BB
rep(t,10), # define t variable by simply repeating it
rep(1:10,each= 101))) # define loop id in a similar manner
names(df) <- c('value','t','variable') # give names to the variables
df$variable <- as.factor(df$variable) # turn variable into a factor
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()


The resulting plot:
enter image description here






share|improve this answer












How about this:



BB <- list()                                   # define BB as a list
for (i in 1:10){
require(ggplot2)
N <- 100
T <- 3
Delta <- T/N
B <- numeric(N+1)
t <- seq(0,T,length=N+1)
for(q in 2:(N+1)){ # Change your index from i to q
B[q] <- B[q-1]+rnorm(1) * sqrt(Delta)
}

x <- 0
y <- 3
BB[[i]] <- x+B-(t/T)*(B[N+1]-y+x) # Assign each iteration to a list entry
}

# Exit the for loop
df <- as.data.frame(cbind(unlist(BB), # unlist the values in BB
rep(t,10), # define t variable by simply repeating it
rep(1:10,each= 101))) # define loop id in a similar manner
names(df) <- c('value','t','variable') # give names to the variables
df$variable <- as.factor(df$variable) # turn variable into a factor
ggplot(data = df, aes(x = t, y = value, colour = variable)) + geom_line()


The resulting plot:
enter image description here







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 20 at 15:19









Niek

734417




734417












  • Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
    – Aaron G.
    Nov 21 at 12:37










  • You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
    – Niek
    Nov 21 at 12:53


















  • Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
    – Aaron G.
    Nov 21 at 12:37










  • You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
    – Niek
    Nov 21 at 12:53
















Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
– Aaron G.
Nov 21 at 12:37




Thanks for your answer! Really helpful and now I realize where I did wrong. Thank you very much
– Aaron G.
Nov 21 at 12:37












You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
– Niek
Nov 21 at 12:53




You're welcome :). If you like the answer, could you please click ''accept'' (green check under the vote counter) and/or upvote?
– Niek
Nov 21 at 12:53


















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