I am very new to R and programming and have spent a lot of time trying to find the answer to this question without success. This is likely because I am not describing the problem well. I am trying to create a data frame in which the values in one vector are dependent on the prior element in the same column and the value of an element in the same position in a another column in the data frame. My output should look something like the following:
dates month increase int_inc
2010-01-01 1 1 1
2010-02-01 2 1.03 1
2010-03-01 3 1.061 1
2010-04-01 4 1.093 1
2010-05-01 5 1.126 1.03
2010-06-01 6 1.159 1.03
2010-07-01 7 1.194 1.03
2010-08-01 8 1.23 1.03
2010-09-01 9 1.267 1.03
2010-10-01 10 1.305 1.03
2010-11-01 11 1.344 1.03
2010-12-01 12 1.384 1.03
2011-01-01 1 1.426 1.03
2011-02-01 2 1.469 1.03
2011-03-01 3 1.513 1.03
2011-04-01 4 1.558 1.03
2011-05-01 5 1.605 1.061
2011-06-01 6 1.653 1.061
2011-07-01 7 1.702 1.061
2011-08-01 8 1.754 1.061
2011-09-01 9 1.806 1.061
2011-10-01 10 1.86 1.061
2011-11-01 11 1.916 1.061
2011-12-01 12 1.974 1.061
My code to create this data frame is as follows:
dates <- c(seq(as.Date("2010-01-01"), as.Date("2012-01-01"), by = "+1 month"))
month <- c(as.numeric(format(dates, "%m")))
data <- data.frame(dates, month)
Len <- length(data$month)-1
data$increase <- 1 * 1.03 ^ (0:len)
data$int_inc <- for (i in 1:Len) {
+ data$int_inc[1] <- 1
+ if ( data$month == 5) {
+ data$int_inc[i+1] <- data$int_inc[i] * 1.03
+ } else {
+ data$int_inc[i+1] <- data$int_inc[i]
+ }
+ }
I am able to create the first three columns in the dataframe with the code above. However I am unable to populate the last column (int_inc). I receive a warning that "condition has length >1 and only the first element will be used". The vector data$int_inc is of Null value. In case it is not clear, I am attempting to increase the value of int_inc by 3% if the value of month is equal to 5 otherwise the value of the element equals that of the prior element.
Thanks very much for your help.
I would combine ifelse()
and cumprod()
to the same the effect as the loop
month <- rep(1:12, 5)
int_inc <- cumprod(ifelse(month == 5, 1.03, 1))
data$int_inc <- 1.03 ^ ( cumsum(month==5) )
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