search for: sapa

Hello, I'm new to R. In Sapa package there's an example for function SDF like data <- as.numeric(sunspots) methods <- c("direct","wosa","multitaper","lag window") S <- lapply(methods, function(x, data) SDF(data, method=x), data) x <- attr(S[[1]], "frequency")[-...

Hi everybody, I'm a beginner R user and I'm trying to use the package "sapa" to estimate the spectral density function of several time series using the SDF function. For each time series, I want to calculate the density function at two temporal resolutions (daily and monthly). The monthly values calculated as a mean of the daily values. I first create a ts object for...

Hi, I want to apply a function (in my case SDF; package ?sapa?) repeatedly over discrete sections of a daily time series object by sliding a time window of constant length (e.g. 10 consecutive years or 1825 days) over the entire ts at increments of 1 time unit (e.g. 1 year or 365 days). So for example, the first SDF would be calculated for the daily values of...

...rs and limestone karsts to the vibrant city life of Ho Chi Minh City, our country offers a diverse range of experiences for every traveler. Picture yourself exploring the ancient town of Hoi An, with its lantern-lit streets and traditional architecture, or hiking through the terraced rice fields of Sapa, surrounded by lush greenery. Beyond the scenic landscapes, you will discover the heart and soul of Vietnam in its people. The kindness and friendliness of the Vietnamese people create an atmosphere of warmth that is truly unique. Whether you're savoring the delicious street food in Hanoi, eng...

...3-11), rpartOrdinal (2.0.2), RPPanalyzer (1.0.3), rpvm (1.0-4), rrcov (1.0-01), RSAGA (0.9-7), Rserve (0.6-1), RSiena (1.0.11.110), Rsolnp (1.0-4), RSQLite (0.9-1), rstream (1.2.5), Rsymphony (0.1-11), rtv (0.4.0), runjags (0.9.7-1), Runuran (0.14.0), Rvmmin (0.92), samplesize (0.1-7), samr (1.28), sapa (1.0-3), scaleboot (0.3-3), sciplot (1.0-7), scout (1.0.2), scrime (1.2.0), sdcTable (0.0.12), SDMTools (1.1), seacarb (2.3.4), seas (0.3-9), seewave (1.5.8), segclust (0.76), segmented (0.2-7.1), SEL (1.0-2), sem (0.9-20), sendplot (3.8.6), seqinr (2.0-9), seriation (1.0-2), sets (1.0-6), simFrame...

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >