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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,23 +1,20 @@ | ||
| Package: simecol | ||
| Version: 0.8-4 | ||
| Date: 2013-09-15 | ||
| Title: Simulation of ecological (and other) dynamic systems | ||
| Version: 0.8-6 | ||
| Date: 2015-03-19 | ||
| Title: Simulation of Ecological (and Other) Dynamic Systems | ||
| Author: Thomas Petzoldt | ||
| Depends: R (>= 2.14), deSolve, methods | ||
| Suggests: tcltk, FME, lattice | ||
| LazyLoad: yes | ||
| Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de> | ||
| Description: simecol is an object oriented framework to simulate | ||
| Description: An object oriented framework to simulate | ||
| ecological (and other) dynamic systems. It can be used for | ||
| differential equations, individual-based (or agent-based) and other | ||
| models as well. The package helps to organize scenarios (avoids copy | ||
| and paste) and improves readability and usability of code. | ||
| models as well. The package helps to organize scenarios (to avoid copy | ||
| and paste) and aims to improve readability and usability of code. | ||
| License: GPL (>= 2) | ||
| URL: http://www.simecol.de/ | ||
| Repository: CRAN | ||
| Repository/R-Forge/Project: simecol | ||
| Repository/R-Forge/Revision: 233 | ||
| Repository/R-Forge/DateTimeStamp: 2013-09-15 19:31:06 | ||
| Date/Publication: 2013-09-26 16:46:19 | ||
| Packaged: 2013-09-15 22:16:17 UTC; rforge | ||
| Packaged: 2015-03-19 22:26:59 UTC; thpe | ||
| NeedsCompilation: yes | ||
| Repository: CRAN | ||
| Date/Publication: 2015-03-20 00:10:09 |
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|---|---|---|
| @@ -1,33 +1,33 @@ | ||
| ## special versions of approx: | ||
| ## approxTime: interpolation of complete rows of a matrix or data frame | ||
| ## approxTime1: special case with one row only (slightly faster) | ||
|
|
||
| approxTime1 <- function (x, xout, rule = 1) { | ||
| if (!is.matrix(x)) x <- as.matrix(x) | ||
| if ((!is.numeric(xout)) | (length(xout) != 1)) | ||
| stop("xout must be a scalar numeric value") | ||
| if ((!is.numeric(rule)) | (length(rule) != 1)) | ||
| stop("rule must be a scalar numeric value") | ||
|
|
||
| n <- nrow(x) | ||
| if (xout >= x[n, 1]) { | ||
| y <- c(xout, x[n, -1]) | ||
| if (rule == 1 & (xout > x[n + 1])) | ||
| y[2:length(y)] <- NA | ||
| } | ||
| else if (xout <= x[1, 1]) { | ||
| y <- c(xout, x[1, -1]) | ||
| if (rule == 1 & (xout < x[1])) | ||
| y[2:length(y)] <- NA | ||
| } | ||
| else { | ||
| i <- which.max(x[, 1] > xout) | ||
| x1 <- x[i - 1, 1] | ||
| x2 <- x[i, 1] | ||
| y1 <- x[i - 1, ] | ||
| y2 <- x[i, ] | ||
| y <- y1 + (y2 - y1) * (xout - x1)/(x2 - x1) | ||
| } | ||
| names(y) <- dimnames(x)[[2]] | ||
| y | ||
| } | ||
| ## special versions of approx: | ||
| ## approxTime: interpolation of complete rows of a matrix or data frame | ||
| ## approxTime1: special case with one row only (slightly faster) | ||
|
|
||
| approxTime1 <- function (x, xout, rule = 1) { | ||
| if (!is.matrix(x)) x <- as.matrix(x) | ||
| if ((!is.numeric(xout)) | (length(xout) != 1)) | ||
| stop("xout must be a scalar numeric value") | ||
| if ((!is.numeric(rule)) | (length(rule) != 1)) | ||
| stop("rule must be a scalar numeric value") | ||
|
|
||
| n <- nrow(x) | ||
| if (xout >= x[n, 1]) { | ||
| y <- c(xout, x[n, -1]) | ||
| if (rule == 1 & (xout > x[n + 1])) | ||
| y[2:length(y)] <- NA | ||
| } | ||
| else if (xout <= x[1, 1]) { | ||
| y <- c(xout, x[1, -1]) | ||
| if (rule == 1 & (xout < x[1])) | ||
| y[2:length(y)] <- NA | ||
| } | ||
| else { | ||
| i <- which.max(x[, 1] > xout) | ||
| x1 <- x[i - 1, 1] | ||
| x2 <- x[i, 1] | ||
| y1 <- x[i - 1, ] | ||
| y2 <- x[i, ] | ||
| y <- y1 + (y2 - y1) * (xout - x1)/(x2 - x1) | ||
| } | ||
| names(y) <- dimnames(x)[[2]] | ||
| y | ||
| } |
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