I talked about this issue in another post but I didn't explain myself with clarity, apologizes, I'm new here. The problem that I have seems a bilge but I do not manage to see what I'm doing wrong. In first place I have this DatFrame in which there is a series of times in milliseconds, this dataframe can change in length, since the information is dynamic:
ts
1 1393867136438
2 1393867136438
3 1393867136407
4 1393867136438
5 1393867136423
6 1393867136438
7 1393867136438
I have the following function in which I want to do this operation: I want to deduct to 1392217780000, each of the positions of the Dataframe "ts" previous, I will have X results depending on the size of the dataframe and I want to guard the results in a vector that then I pass to Dataframe.
get_ms_ts_list<-function(ts_list){
ms_ts_list <- vector()
static_num <- 1392217780000
for (i in 1:length(ts_list[,1])){
ms_ts_list[i] <- static_num-ts_list[i,1]
}
return(as.data.frame(ms_ts_list))
}
When I use this function I obtain these warnings and it generates me the dataframe that I've put here plenty of βNaβsβ, I don't understand what I'm doing wrong ? Any idea ? thanks
Warning messages:
1: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
2: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
3: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
4: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
5: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
6: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
7: In Ops.factor(static_num, ts_list[i, 1]) : - not meaningful for factors
ms_ts_list
1 NA
2 NA
3 NA
4 NA
5 NA
6 NA
7 NA