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###### MTCARS Merging and Aggregation Example ###### | |
### Prepare data and load library | |
library(data.table) | |
mtcarsDt <- as.data.table(mtcars); mtcarsDt | |
mtcarsDt <- cbind(carBrand = rownames(mtcars), mtcarsDt); mtcarsDt | |
## Use list to aggregate | |
aggregateMtCars <- mtcarsDt[, list(nAgg = .N, meanHPagg = mean(hp)), by = c("gear", "am")] | |
aggregateMtCars |
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> function(){x <- 1} | |
function(){x <- 1} | |
> x | |
Error: object 'x' not found | |
> y = 3 | |
> (function(x = 5 + y) x)() | |
[1] 8 | |
> x | |
Error: object 'x' not found |
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# Data From https://stats.stackexchange.com/questions/64927/how-do-i-plot-an-exponential-curve-in-r | |
x = c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, | |
1,1,1,1,1,1,1,1,1,1,2,1,2,2,1,2,1,2,2,2,2,2,1,2,2, | |
1,3,1,3,1,2,1,2,2,3,3,2,3,3,3,2,3,3,2,1,5,5,1,4,3, | |
4,3,3,5,7,2,4,6,4,4,3,6,5,5,3,4,3,4,7,5,7,11,3,6, | |
6,6,9,1,1,3,9,3,4,6,6,12,6,2,12,8,2,4,12,6,8,9,6, | |
5,4,4,11,4,18,8,10,8,17,5,16,16,6,5,18,3,1,10,2, | |
11,21,8,11,15,9,13,14,3,11,17,18,9,16,17,12,18,2, | |
9,17,14,14,5,21,21,13,17,15,9,1,18,17,7,2,17,23,22, |
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# Starting Order | |
> c(1, 2) %in% c(1,3,5) # Indexes left side | |
[1] TRUE FALSE | |
> c(1, 2) == c(1,3,5) # Same as above, but indexes right side | |
[1] TRUE FALSE FALSE | |
> ! c(1, 2) %in% c(1,3,5) | |
[1] FALSE TRUE | |
> union(c(1, 2), c(1,3,5)) | |
[1] 1 2 3 5 | |
> intersect(c(1, 2), c(1,3,5)) |
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# Data Sampled from Bayesian AB Testing Article: http://varianceexplained.org/r/credible_intervals_baseball/ | |
hit_table <- data.frame(hits = c(0, 0, 4, 9, 28, 30), at_bat = c(3, 6, 10, 41, 130, 139)) | |
propTable <- function(inputData = inputData, correction = TRUE){ | |
prop_return <- apply(inputData, 1, function(x){ | |
prop_row <- prop.test(x[1], x[2], conf.level = 0.95, correct = correction) | |
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###### Multiple Security Downloader with D3.js Plot ###### | |
library(quantmod) | |
# require(devtools) | |
# install_github('rCharts', 'ramnathv') | |
library(rCharts) | |
from = "2015-01-01" | |
to = "2016-01-01" |
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# Static variable setting | |
eval(parse(text="adder1 <- 1 + 3; adder2 <- 1 + 4")) | |
adder1 # [1] 4 | |
adder2 # [1] 5 | |
# Dynamic variable setting | |
for(i in 1:2){ | |
print(paste0("adder", i, " <- ", i + 1)) | |
eval(parse(text = paste0("adder", i, " <-", i + 1))) | |
} |
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Sys.time() | |
# [1] "2016-11-23 21:22:46 UTC" | |
as.POSIXct( as.numeric(Sys.time()), origin = "1970-01-01" ) | |
# [1] "2016-11-23 21:22:46 UTC" |
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