R while loop and number of times - r

got a while loop going, and that's working fine.
However I also need to add another condition.
I need the loop to keep going until it satisfies the while loop, but then I also need to add that this can only get repeated x times.
I think you would have to make a for loop to do x times, is it possible to put a while loop in this?
Basically how can I make a loop either reach the goal or stop after x loops??

The expression in while needs to be TRUE for the loop to continue. You can use | or & to add extra conditions. This loop runs 99 times or until sum of random variables is less than 100.
counter <- 0
result <- 0
while(counter < 100 | sum(result) < 100) {
result <- sum(result, rnorm(1, mean = 5, sd = 1))
counter <- sum(counter, 1)
}
> result
[1] 101.5264
> counter
[1] 21

Just pass the current iterator value as an argument to your function. That way you can break the recursion if that reaches a particular value.
But why do you have a while loop if you use recursion, for example:
add_one_recursive = function(number) {
number = number + 1
cat("New number = ", number, "\n")
if(number > 10) {
return(number)
} else {
return(add_one_recursive(number))
}
}
final_number = add_one_recursive(0)
New number = 1
New number = 2
New number = 3
New number = 4
New number = 5
New number = 6
New number = 7
New number = 8
New number = 9
New number = 10
New number = 11
Does not require an explicit loop at all.

Related

I want to calculate the timedifference between to times

I want to calculate the difference of two columns of a dataframe containing times. Since not always a value from the same column ist bigger/later, I have to do a workaround with an if-clause:
counter = 1
while(counter <= nrow(data)){
if(data$time_end[counter] - data$time_begin[counter] < 0){
data$chargingDuration[counter] = 1-abs(data$time_end[counter]-data$time_begin[counter])
}
if(data$time_end[counter] - data$time_begin[counter] > 0){
data$chargingDuration[counter] = data$time_end[counter]-data$time_begin[counter]
}
counter = counter + 1
}
The output I get is a decimalvalue smaller than 1 (i.e.: 0,53322 meaning half a day)... However, if I use my console and calculate the timedifference manually for a single line, I get my desired result looking like 02:12:03...
Thanks for the help guys :)

decimal increments in loop for R

I would like to find the value of "p" below (which is between 0 and 1), knowing the following equations:
RI_26 = min(IR,na.rm=FALSE)
RI_min = 100-(sse*SUM/((1+p)*Dotation2017*100))^(1/p)
where RI_26 is the minimum of resources index of my 26 area. It is a constant in my case. In RI_min, sse and Dotations2017 are 2 constants and p is a unknown. I know that RI_26 should be equal to RI_min.
It would be easy to solve it, but SUM (which is present in RI_min) is as well unknown as it is a function of p as following:
`sum.function = function(p){
SUM <- c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)
for(i in 1:length(Canton))
if(IR[i] < 100) {
SUM[i] <- (100-IR[i])^(1+p)*Pop[i]
SUM[27] <- SUM[27]+SUM[i]
}
SUM <- round(SUM,0)
return(SUM[27])
}
SUM = sum.function(p)
SUM returns a number (or vector 1X1). To deal with it, I would like to find the value of p that satisfied:
RI_26/RI_min = 1
To do so, I would like to do a loop, beginning with p = 0 and then increasing the value of p by 0.01 until it reaches 1. The loop should return the value of p_star when the constraint is True (RI_26/RI_min = 1.00).
I don't have any idea how to do this but it could look like the following code:
p.function = function(){
for(...)
if(RI_26/RI_min = 1.000000) {
p_star <- p
}
return(p_star)
}
So the function will return the value of p_star when RI_26/RI_min = 1.000000. What am I suppose to write in my function: p.function to increment "p" and have the result that I want? Any idea?
for (i in seq(0, 1, by = 0.1)) {
"Your code here"
}

Adding a counter to a loop

On a broad question that I haven't been able to find for R:
I'm trying to add a counter at the beginning of a loop.
So that when I run the loop sim = 1000:
if(hours$week1 > 1 and hours$week1 < 48) add 1 to the counter
ifelse add 0
I have came across counter tutorials that print a sentence to let you know where you are (if something goes wrong):
e.g
For (i in 1:1000) {
if (i%%100==0) print(paste("No work", i))
}
But the purpose of my counter is to generate a value output, measuring how many of the 1000 runs in the loop fall inside a specified range.
You basically had it. You just need to a) initialize the counter before the loop, b) use & instead of and in your if condition, c) actually add 1 to the counter. Since adding 0 is the same as doing nothing, you don't have to worry about the "else".
counter = 0
for (blah in your_loop_definition) {
... loop code ...
if(hours$week1 > 1 & hours$week1 < 48) {
counter = counter + 1
}
... more loop code ...
}
Instead of
if(hours$week1 > 1 & hours$week1 < 48) {
counter = counter + 1
}
you could also use
counter = counter + (hours$week1 > 1 && hours$week1 < 48)
since R is converting TRUE to 1 and FALSE to 0.
How about this?
count = 0
for (i in 1:1000) {
count = ifelse(i %in% 1:100, count + 1, count)
}
count
#> [1] 100
If your goal is just to monitor progression coarsely, and you're using Rstudio, a simple solution is to just refresh the environment tab to check the current value of i.

Get out of infinite while loop

What is the best way to have a while loop recognize when it is stuck in an infinite loop in R?
Here's my situation:
diff_val = Inf
last_val = 0
while(diff_val > 0.1){
### calculate val from data subset that is greater than the previous iteration's val
val = foo(subset(data, col1 > last_val))
diff_val = abs(val - last_val) ### how much did this change val?
last_val = val ### set last_val for the next iteration
}
The goal is to have val get progressively closer and closer to a stable value, and when val is within 0.1 of the val from the last iteration, then it is deemed sufficiently stable and is released from the while loop. My problem is that with some data sets, val gets stuck alternating back and forth between two values. For example, iterating back and forth between 27.0 and 27.7. Thus, it never stabilizes. How can I break the while loop if this occurs?
I know of break but do not know how to tell the loop when to use it. I imagine holding onto the value from two iterations before would work, but I do not know of a way to keep values two iterations ago...
while(diff_val > 0.1){
val = foo(subset(data, col1 > last_val))
diff_val = abs(val - last_val)
last_val = val
if(val == val_2_iterations_ago) break
}
How can I create val_2_iterations_ago?
Apologies for the non-reproducible code. The real foo() and data that are needed to replicate the situation are not mine to share... they aren't key to figuring out this issue with control flow, though.
I don't know if just keeping track of the previous two iterations will actually suffice, but it isn't too much trouble to add logic for this.
The logic is that at each iteration, the second to last value becomes the last value, the last value becomes the current value, and the current value is derived from foo(). Consider this code:
while (diff_val > 0.1) {
val <- foo(subset(data, col1 > last_val))
if (val == val_2_iterations_ago) break
diff_val = abs(val - last_val)
val_2_iterations_ago <- last_val
last_val <- val
}
Another approach, perhaps a little more general, would be to track your iterations and set a maximum.
Pairing this with Tim's nice answer:
iter = 0
max_iter = 1e6
while (diff_val > 0.1 & iter < max_iter) {
val <- foo(subset(data, col1 > last_val))
if (val == val_2_iterations_ago) break
diff_val = abs(val - last_val)
val_2_iterations_ago <- last_val
last_val <- val
iter = iter + 1
}
How this is generally done is that you have:
A convergence tolerance, so that when your objective function doesn't change appreciably, the algorithm is deemed to have converged
A limit on the number of iterations, so that the code is guaranteed to terminate eventually
A check that the objective function is actually decreasing, to catch the situation where it's diverging/cyclic (many optimisation algorithms are designed so this shouldn't happen, but in your case it does happen)
Pseudocode:
oldVal <- Inf
for(i in 1:NITERS)
{
val <- objective(x)
diffVal <- val - oldVal
converged <- (diffVal <= 0 && abs(diffVal) < TOL)
if(converged || diffVal > 0)
break
oldVal <- val
}

Why doesn't this "binding" code work as expected in JavaFX?

I am new to JavaFX. I am not able to understand why the code below doesn't work.
import javafx.util.Sequences;
def nums = [1..10];
var curr = 0;
var evenOrOdd = bind if (nums[curr] mod 2 == 0) "{nums[curr]} is an even number" else "{nums[curr]} is an odd number";
for (curr in [0..(sizeof nums -1)])
{
println("{evenOrOdd}");
}
I am getting
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
1 is an odd number
If I change the code to
import javafx.util.Sequences;
def nums = [1..10];
var curr = 0;
var evenOrOdd = bind if (nums[curr] mod 2 == 0) "{nums[curr]} is an even number" else "{nums[curr]} is an odd number";
for (i in [0..(sizeof nums -1)])
{
curr = i;
println("{evenOrOdd}");
}
I get the correct output:
1 is an odd number
2 is an even number
3 is an odd number
4 is an even number
5 is an odd number
6 is an even number
7 is an odd number
8 is an even number
9 is an odd number
10 is an even number
Clearly, the counter increment in the loop is not treated as a value change and the bound expression is not re evaluated.
Can anyone please explain the concept behind this behavior?
The for expression implicitly defines its iteration variable (that's why you didn't need to declare i in your second example). Even if there is already a variable with the same name, for will still create a new one for its scope. Your bind expression is bound to the curr variable outside of your for loop, not to the one inside your for loop. And the one outside of your loop doesn't change, so the bound expression will not change.
Example to demonstrate this behaviour of for:
var curr = 0;
var ousideCurrRef = bind curr;
println("Before 'for' loop: curr={curr}");
for (curr in [0..3])
{
println("In 'for' loop: curr={curr} ousideCurrRef={ousideCurrRef}");
}
println("After 'for' loop: curr={curr}");
This will print:
Before 'for' loop: curr=0
In 'for' loop: curr=0 ousideCurrRef=0
In 'for' loop: curr=1 ousideCurrRef=0
In 'for' loop: curr=2 ousideCurrRef=0
In 'for' loop: curr=3 ousideCurrRef=0
After 'for' loop: curr=0
Thus the curr outside the for loop won't change if you modify a variable of the same name inside the for loop.

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