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Hoera

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  1. Hoera

    PC sneller maken!

    superantispyware kan ik ook aanraden! Programma ziet er zelf uit als een virus, maar is het niet en doet zijn werk beter als betaalde alternatieven!
  2. Hoera

    Ctrl+v

  3. Hoera

    Photoshopper gezocht!

    Ik wil het graag wel eens proberen. Geen succes van garantie maar stuur de foto en de kleur maar eens door 🙂
  4. Hoera

    [uitdaging] Chat to Whatsapp

    Misschien een ideetje om Telegram te installeren hiervoor? Daarmee kan en mag het wel, krijg je ook meldingen op je telefoon en heb je verder geen last van.
  5. Hoera

    Afbeelding naar HTML

    Stuur pb met layout, dan maak ik een prijs. HTML5 & CSS3 & SEO geoptimaliseerd.
  6. Hoera

    Ctrl+v

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  7. Hoera

    Ctrl+v

    General builtins() # List all built-in functions options() # Set options to control how R computes & displays results ?NA # Help page on handling of missing data values abs(x) # The absolute value of "x" append() # Add elements to a vector c(x) # A generic function which combines its arguments cat(x) # Prints the arguments cbind() # Combine vectors by row/column (cf. "paste" in Unix) diff(x) # Returns suitably lagged and iterated differences gl() # Generate factors with the pattern of their levels grep() # Pattern matching identical() # Test if 2 objects are *exactly* equal jitter() # Add a small amount of noise to a numeric vector julian() # Return Julian date length(x) # Return no. of elements in vector x ls() # List objects in current environment mat.or.vec() # Create a matrix or vector paste(x) # Concatenate vectors after converting to character range(x) # Returns the minimum and maximum of x rep(1,5) # Repeat the number 1 five times rev(x) # List the elements of "x" in reverse order seq(1,10,0.4) # Generate a sequence (1 -> 10, spaced by 0.4) sequence() # Create a vector of sequences sign(x) # Returns the signs of the elements of x sort(x) # Sort the vector x order(x) # list sorted element numbers of x tolower(),toupper() # Convert string to lower/upper case letters unique(x) # Remove duplicate entries from vector system("cmd") # Execute "cmd" in operating system (outside of R) vector() # Produces a vector of given length and mode formatC(x) # Format x using 'C' style formatting specifications floor(x), ceiling(x), round(x), signif(x), trunc(x) # rounding functions Sys.getenv(x) # Get the value of the environment variable "x" Sys.putenv(x) # Set the value of the environment variable "x" Sys.time() # Return system time Sys.Date() # Return system date getwd() # Return working directory setwd() # Set working directory ?files # Help on low-level interface to file system list.files() # List files in a give directory file.info() # Get information about files # Built-in constants: pi,letters,LETTERS # Pi, lower & uppercase letters, e.g. letters[7] = "g" month.abb,month.name # Abbreviated & full names for months Maths log(x),logb(),log10(),log2(),exp(),expm1(),log1p(),sqrt() # Fairly obvious cos(),sin(),tan(),acos(),asin(),atan(),atan2() # Usual stuff cosh(),sinh(),tanh(),acosh(),asinh(),atanh() # Hyperbolic functions union(),intersect(),setdiff(),setequal() # Set operations +,-,*,/,^,%%,%/% # Arithmetic operators <,>,<=,>=,==,!= # Comparison operators eigen() # Computes eigenvalues and eigenvectors deriv() # Symbolic and algorithmic derivatives of simple expressions integrate() # Adaptive quadrature over a finite or infinite interval. sqrt(),sum() ?Control # Help on control flow statements (e.g. if, for, while) ?Extract # Help on operators acting to extract or replace subsets of vectors ?Logic # Help on logical operators ?Mod # Help on functions which support complex arithmetic in R ?Paren # Help on parentheses ?regex # Help on regular expressions used in R ?Syntax # Help on R syntax and giving the precedence of operators ?Special # Help on special functions related to beta and gamma functions Graphical help(package=graphics) # List all graphics functions plot() # Generic function for plotting of R objects par() # Set or query graphical parameters curve(5*x^3,add=T) # Plot an equation as a curve points(x,y) # Add another set of points to an existing graph arrows() # Draw arrows [see errorbar script] abline() # Adds a straight line to an existing graph lines() # Join specified points with line segments segments() # Draw line segments between pairs of points hist(x) # Plot a histogram of x pairs() # Plot matrix of scatter plots matplot() # Plot columns of matrices ?device # Help page on available graphical devices postscript() # Plot to postscript file pdf() # Plot to pdf file png() # Plot to PNG file jpeg() # Plot to JPEG file X11() # Plot to X window persp() # Draws perspective plot contour() # Contour plot image() # Plot an image Fitting / regression / optimisation lm # Fit liner model glm # Fit generalised linear model nls # non-linear (weighted) least-squares fitting lqs # "library(MASS)" resistant regression optim # general-purpose optimisation optimize # 1-dimensional optimisation constrOptim # Constrained optimisation nlm # Non-linear minimisation nlminb # More robust (non-)constrained non-linear minimisation Statistical help(package=stats) # List all stats functions ?Chisquare # Help on chi-squared distribution functions ?Poisson # Help on Poisson distribution functions help(package=survival) # Survival analysis cor.test() # Perform correlation test cumsum(); cumprod(); cummin(); cummax() # Cumuluative functions for vectors density(x) # Compute kernel density estimates ks.test() # Performs one or two sample Kolmogorov-Smirnov tests loess(), lowess() # Scatter plot smoothing mad() # Calculate median absolute deviation mean(x), weighted.mean(x), median(x), min(x), max(x), quantile(x) rnorm(), runif() # Generate random data with Gaussian/uniform distribution splinefun() # Perform spline interpolation smooth.spline() # Fits a cubic smoothing spline sd() # Calculate standard deviation summary(x) # Returns a summary of x: mean, min, max etc. t.test() # Student's t-test var() # Calculate variance sample() # Random samples & permutations ecdf() # Empirical Cumulative Distribution Function qqplot() # quantile-quantile plot
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