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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
2
votes
2
answers
2k
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imputing missing values of finance data
Or is there any way in R to account for missing values and only create ts values for 1443 data points which are present? … R command used:
st_ts = ts(stocks[,2],
start = c(2010,1),
end = c(2015,9),
frequency = 365) …
1
vote
0
answers
398
views
handling dataset if some columns have sparse data
1)if in a dataset 8 columns and of them 3 columns have sparse data[lots of missing values].can anyone tell me what are the general practices followed to transform this data before modelling.
I know we …
2
votes
1
answer
316
views
how to check if model built is valid or outdated for new data
If i have a classification or clustering model built for retail customers till last year.How do i check if my model is still valid to this year's data?
We can check accuracy of model to new data but …
1
vote
0
answers
32
views
timeseries forecasting when datapoints doesn't start at same time period
I have a dataset which has lifecycle information of different products but all the products doesn't start selling in same period or same year/quarter.In this case how should i do time series modelling …
2
votes
0
answers
936
views
Time series data prediction with neural network model
I have modeled a neural network with 3 input nodes and 2 hidden nodes and 1 output node in R but I am getting forecast accuracy of around 35% only. …