Nothing
## ----instcran, eval=FALSE-----------------------------------------------------
# install.packages("berryFunctions")
# library(berryFunctions)
## ----instgit, eval=FALSE------------------------------------------------------
# if(!requireNamespace("remotes", quitly=TRUE)) install.packages("remotes")
# remotes::install_github("brry/berryFunctions", build_opts="--no-manual")
## ----library, echo=FALSE------------------------------------------------------
library(berryFunctions)
## ----colPoints, fig.show='hold', echo=-c(1:2)---------------------------------
par(mar=c(3.2,3.2,3,0.7), mgp=c(2.1,0.7,0))
set.seed(007)
x <- sample(1:87, 150, TRUE); y <- sample(1:61, 150, TRUE); z <- diag(volcano[x,y])-95
colPoints(x,y,z, pch="+", legargs=list(y1=0.8,y2=1, title="Elevation [m]"), add=FALSE)
mtext("colPoints, textField", outer=TRUE, adj=0.05, line=0.5, cex=1.2, font=2)
text(60,30, "unreadable text")
textField(60, 15, "good text", field="round", fill="orange", cex=1.2)
dat <- rbeta(1e4, 2, 80)*100; dat <- dat[dat>0.1]
logHist(dat, col="tan", breaks=50, main="logHist, logAxis")
## ----lsc, fig.show='hold', echo=-1, fig.height=3.5, fig.width=5.5, warning=FALSE----
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
# estimate parameters for Unit Hydrograph, plot data and simulation: lsc
QOBS <- dbeta(1:40/40, 3, 10) + rnorm(20,0,0.2) + c(seq(0,1,len=20), rep(1,20))
PREC <- c(1,1,3,4,5,5,4,3,1,1, rep(0,30))
lsc(PREC, QOBS, area=10, main="lsc, unitHydrograph, superPos") # , plotsim=F
## ----regression, fig.show='hold', echo=-(1:2)---------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
options(digits=5)
a <- 1:30 ; b <- a/2.345+rnorm(30,0,3)
linReg(a,b, main="linReg, circle, addAlpha")
circle(12,3, r=5, col=addAlpha("darkgreen"), border="blue", lwd=3)
x <- c(1.3, 1.6, 2.1, 2.9, 4.4, 5.7, 6.6, 8.3, 8.6, 9.5)
y <- c(8.6, 7.9, 6.6, 5.6, 4.3, 3.7, 3.2, 2.5, 2.5, 2.2)
mReg(x,y, main="mReg")[,c(2,3,5:6)]
## ----tableColVal, echo=-1, fig.height=3.5, fig.width=5.5----------------------
par(mar=c(0,0,1,0))
tableColVal(as.matrix(eurodist)[1:15,1:5], nameswidth=0.25)
## ----climgraph, echo=-1, fig.height=3.5, fig.width=5.5------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
climateGraph(temp=c(-9.3,-8.2,-2.8,6.3,13.4,16.8,18.4,17,11.7,5.6,-1,-5.9),
rain=c(46,46,36,30,31,21,26,57,76,85,59,46))
## ----df-----------------------------------------------------------------------
# Convert list with vectors of unequal length to one single data.frame: l2df
eglist <- list(AB=c(6,9,2,6), CD=1:8, EF=c(-3,2) )
eglist
l2df(eglist) # names are even kept
# add rows to a data.frame: addRows, insertRows
MYDF <- data.frame(A=5:3, B=2:4)
addRows(MYDF, 3)
insertRows(MYDF, 2, 10:11)
# Order rows in a dataframe: sortDF
sortDF(USArrests[USArrests$Murder>14,], "Assault", decreasing=TRUE)
# truth table to test logical expressions: TFtest
TFtest(!a & !b, a&b, !(a&b))
# Head and tail at the same time: headtail (exception from lowerCamelCasing)
headtail(iris, n=3, na=FALSE)
## ----showPal, fig.show='hold'-------------------------------------------------
showPal(cex=3)
neff <- t(replicate(n=300, sapply(1:200, function(nn) max(rnorm(nn))) ))
qB <- quantileBands(neff, x=1:200, smooth=7)
## ----distrplots, fig.show='hold', echo=-1-------------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
normPlot(mean=81.7, sd=11.45)
betaPlot(shape1=1.5, shape2=6)
## ----betacomp, echo=-1, fig.height=4.5, fig.width=5.5-------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
betaPlotComp()
## ----lim0, fig.show='hold', echo=-1-------------------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
val <- c(3.2, 1.8, 4.5, 8.2, 0.1, 2.9) # just some numbers
plot(val) # axes are extended by 4\% automatically, if xaxs="r"
plot(val, ylim=lim0(val), las=1) # you don't even have to set yaxs="i" ;-)
## ----horizHist, fig.show='hold', echo=-1--------------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
ExampleData <- rnorm(200,13,5)
hpos <- horizHist(ExampleData, col=4)
abline(h=hpos(11), col=2, lwd=2)
groupHist(chickwts, "weight", "feed", col=2, unit="gr_6")
# drop the horsebean, feed those chicks with sunflower seeds (unless you like small chicken)
## ----pointZoom, eval=FALSE----------------------------------------------------
# a <- rnorm(90); b <- rexp(90)
# dev.new(record=TRUE) # turn recording on
# plot(a,b, las=1)
# pointZoom(a,b) # scroll through the plots (Pg Up and Pg Dn) to unzoom again.
#
# locLine()
#
# x <- rlnorm(700, m=3)
# dev.new(record=TRUE) # scroll through the plots (Pg Up and Pg Dn)...
# linLogHist(x, xlab="ddd", breaks=30, yaxt="n", freq=FALSE)
## ----movAvLines, fig.show='hold', echo=-(1:2), warning=FALSE------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
set.seed(42); a <- cumsum(rnorm(100))
plot(a, type="l", pch=16, las=1)
lines(movAv(a), col=2, lwd=3)
movAvLines(y=a, lwd=3)
X <- c(2, 224, 54, 505, 1, 5, 236, 92, 3, 0) # successful events
N <- c(2, 400, 100, 1000, 2, 10, 500, 200, 10, 2) # possible succeses
funnelPlot(X,N, letters[1:10])
## ----axes, fig.show='hold', echo=-(1:2)---------------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
set.seed(42)
exdat <- 10^runif(50, -1, 2)
plot(exdat, log="y", yaxt="n")
logAxis(side=2) # invisibly returns values and labels
points(exdat, pch=16)
plot(as.Date("2013-04-25")+0:500, cumsum(rnorm(501)), type="l", xaxt="n", ann=FALSE)
dummy <- monthAxis(side=1)
str(dummy)
## ----hydro, echo=-1-----------------------------------------------------------
par(mar=c(3.2,3.2,1.5,0.7), mgp=c(2.1,0.7,0))
# superposition of precipitation to simulate Q from P: superPos
N <- c(9,5,2,14,1,3) # [mm/hour]
UH <- c(0.1, 0.4, 0.3, 0.1, 0.1) # [1/h]
superPos(N, UH)
# calculate continuous UH with given n and k: unitHydrograph
plot(0:40, unitHydrograph(n=2, k=3, t=0:40), type="l")
# Nash-Sutcliffe and kling-gupta efficiency: nse + kge
QSIM <- lsc(PREC, QOBS, area=10, returnsim=TRUE, plot=FALSE)
nse(QOBS, QSIM)
kge(QOBS, QSIM)
# Root Mean Squared Error, e.g. to be minimized: rmse
rmse(QOBS, QSIM)
# R squared (coefficient of determination): rsquare
rsquare(QOBS, QSIM)
## ----trace--------------------------------------------------------------------
lower <- function(a, s) {tmessage("some stuff with ", a+10, skip=s); a}
upper <- function(b, skip=0) lower(b+5, skip)
upper(3)
## ----tryStack-----------------------------------------------------------------
lower <- function(a) {message("fake message, a = ", a); a+10}
middle <- function(b) {plot(b, main=b) ; warning("fake warning, b = ", b); lower(b) }
upper <- function(c) {cat("printing c:", c, "\n") ; middle(c)}
tryStack(upper("42") )
## ----misc---------------------------------------------------------------------
# distance between two points on a plane: distance
A <- c(3, 9,-1) ; B <- c(7, -2, 4)
plot(A,B); points(3,5, col=2, pch=16); segments(3,5, A,B)
distance(A,B, 3,5)
# remove leading and trailing white space: removeSpace
s <- c("space at end ", " white at begin", " both ", " special ^ ")
removeSpace(s)
# sequence given by range or vector of values: seqR
seqR(range=c(12,6), by=-2)
seqR(rnorm(20), len=7)
# Rescale values to another range: rescale
rescale(10:15, from=200, to=135)
# Show memory size of the biggest objects in MB: lsMem
lsMem(n=5)
# extract pdf link from google search result url: googleLink2pdf
Link <- paste0("http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1",
"&cad=rja&sqi=2&ved=0CDIQFjAA&url=http%3A%2F%2Fcran.r-project.org",
"%2Fdoc%2Fmanuals%2FR-intro.pdf&ei=Nyl4UfHeOIXCswa6pIC4CA",
"&usg=AFQjCNGejDwPlor4togQZmQEQv72cK9z8A&bvm=bv.45580626,d.Yms")
googleLink2pdf(Link)
# Create a number of 999 strings with spaces for reading files: na9
na9()[c(1:4,13,30)]
## ----misc_non, eval=FALSE-----------------------------------------------------
# # Separate lists with arguments for functions: owa
# ?owa # the example section has a good - wait for it - example!
#
# # install.package and require in one single function: require2
# require2(ada)
#
# # Write a file with a Roxygen-compatible function structure,
# # making it easy to add new functions to the package: createFun
# createFun(myNewFunction, package="extremeStat", path="S:/Dropbox")
#
# # Open the source code of a function on github: funSource
# funSource("smoothLines")
#
# # Install a package from github without dependencies: instGit
# instGit("brry/shapeInteractive")
#
#
# # concatenate textfiles contents unchanged into one file: combineFiles
# # see also: compareFiles, dupes
# cat("This is Sparta.\nKicking your face.", file="BujakashaBerry1.txt")
# cat("Chuck Norris will roundhousekick you.", file="BujakashaBerry2.txt")
# combineFiles(inFiles=paste0("BujakashaBerry", 1:2, ".txt"),
# outFile="BujakashaBerry3.txt")
# readLines("BujakashaBerry3.txt")
# unlink(paste0("BujakashaBerry", 1:3, ".txt"))
#
# # wish neRds a happy new year: yearSample
# yearSample(2016)
# # Have a nerdy
# set.seed(12353); sample(0:9,4,T)
#
# # generate name from "random" sample: nameSample
# nameSample("berry")
## ----misc2--------------------------------------------------------------------
# Kind regards from
set.seed(8833277); paste(sample(letters,5,rep=T),collapse='')
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