The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
This package allows us to calculate the turning points from the Bry and Boschan (1971) methodology. The main goal of Coinprofile is to build the coincident profile according to Martinez et al (2016).
You can install the released version of Coinprofile from CRAN with:
install.packages("Coinprofile")This is a basic example which shows you how to solve a common problem:
library(Coinprofile)
## basic example code
set.seed(123)
w <- seq(-3, 7, length.out = 100)
x1 <- sin(pi*w)+rnorm(100,0,0.1)
x2 <- sin(pi*w-0.1)+rnorm(100,0,0.1)
coincident_profile(x1, x2, 4, 5, "name.x", "name.y", TRUE, 1991, 2015, 4, 4)
#> $Profile
#> p.value lags
#> p(-5) 0.78125 -5
#> p(-4) 0.78125 -4
#> p(-3) 0.78125 -3
#> p(-2) 0.78125 -2
#> p(-1) 1.56250 -1
#> p(0) 75.00000 0
#> p(1) 10.93750 1
#> p(2) 1.56250 2
#> p(3) 0.78125 3
#> p(4) 0.78125 4
#> p(5) 0.78125 5
#>
#> $MainLag
#> lag_MaxP-value name.x name.y Amount_TP_used
#> 1 0 name.x name.y 8
# In this example x leads y three periods
set.seed(123)
w <- seq(-3, 7, length.out = 100)
x <- sin(pi*w)+rnorm(100,0,0.1)
y <- sin(pi*w-1)+rnorm(100,0,0.1)
coincident_profile(x, y, 4, 6, "name.x", "name.y", TRUE, 1991, 2015, 4, 4)
#> $Profile
#> p.value lags
#> p(-6) 0.78125 -6
#> p(-5) 0.78125 -5
#> p(-4) 1.56250 -4
#> p(-3) 100.00000 -3
#> p(-2) 0.78125 -2
#> p(-1) 0.78125 -1
#> p(0) 0.78125 0
#> p(1) 0.78125 1
#> p(2) 0.78125 2
#> p(3) 0.78125 3
#> p(4) 0.78125 4
#> p(5) 0.78125 5
#> p(6) 0.78125 6
#>
#> $MainLag
#> lag_MaxP-value name.x name.y Amount_TP_used
#> 1 -3 name.x name.y 8These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.