search for: sigmamonster

I have and XTS time series object that has date and time. I started with 1 minute data and used apply.daily(x, sum) to sum the data to one cumulative value. This function works just fine however it leaves a time for the last summed value which looks like this 2006-07-19 14:58:00. I need to just have the date and to remove the time value of 14:58:00 just leaving the date value of 2006-07-19 .

I used quantmod to pull in price data from the ticker SPY. The data has date and closing price. I would like to show the day of the week for each closing price. Is that possible? Also, I would like to add the back into the data frame in a new column without changing the structure of the data set if possible. SPY 2009-01-02 92.96 2009-01-05 92.85 2009-01-06 93.47

I'm calling a list of symbols and then using a function to build a data frame from that symbol list. It works great until I introduce this index symbol from yahoo '^GSPC'. When and index symbol is introduced I get and error which is below. > Data <- symbolFrame(symbols) Error in get(S) : object '^GSPC' not found Since R does not like the ^ in front of a name it

I have a xts object made of daily closing prices I have acquired using quantmod. Here is my code: library(xts) library(quantmod) library(lubridate) # Gets SPY data getSymbols("SPY") # Subset Prices to just closing price SP500 <- Cl(SPY) # Show day of the week for each date using 2-6 for monday-friday SP500wd <- wday(SP500) # Add Price and days of week together

I have a time series data with 1's and 0's. When the last 3 observations are 1 I want to generate a 1 until I have three 0's in a row and then I want it to produce all zeros again. For example if I have 0101010101 for the first part of the time series this would produce all zeros. Then if the data has 111 my function will return 1's until I have three 0's in a row and it

I have loaded price data for GE and then calculated a 50 day simple moving average. Then I have a created a ifelse statement that produce a 1 when GE's closing price is above the simple moving average and a 0 when GE Closing price is below the 50 day simple moving average. However, what I really want to do is to produce a 1 for when the price is above the simple moving average for 3 days