multiplots: plot multiple color graphs

In kevinlzheng/RegR: Collective Functions to Perform Generalized Linear Model Graphs

Usage

multiplots(my.data = my.data, xvar, yvar, classes,
  xlab = names(my.data[xvar]), fit = "loess", log = "",
  ylab = names(my.data[yvar]), type = "n", pos = "topleft", cols = 1:20,
  pchs = 1:20, rounder1 = 2, rounder2 = 2, ltys = 1:20, main = "",
  rounder = 2, interval = "prediction", level = 0.5, predx = 100,
  add.pt = TRUE, add.ln = FALSE, lty = 1, cex = 1, las = 1,
  cex1 = 1, ...)

Arguments

my.data	data frame
xvar	x variable, either column name or index value
yvar	y variable, either column name or index value
classes	group and a factor variable
fit	fitted line, either loess or linear or none
cols	colors for different classes
pchs	point type
ltys	line types for different groups
interval	"prediction" or "confidence" interval
predx	predicted value at 100 \item add.ptadd predicted point \item add.lnadd fitted lines

The output of this function to return 1.Weighted Average, 2. cdf_Abundance based, 3. cdf_ presence/absence based; 4. ecdf weighted, 5. cdf weight new; 6. Linear logistic regression, 7. quadratic logistic 8. GAM 5~7 using full data range; 9~11. repeat 6~8 but uses observed range for each single taxon; 12 Count. 13. Raw quantiles set.seed(1) n = 50 x <- rlnorm(n) + 1:n x <- (x - min(x))/max(x) y <- n + 1:n + (rnorm(n))*0.2*n g <- paste0("g", sample(1:5, n)) par(mfrow=c(1,2)) plot(y~x) multiplots(data = data.frame(x,y, g), xvar= "x", yvar = "y", classes = "g", fit = "linear") change interval, plot, point, regression scatter

kevinlzheng/RegR documentation built on May 20, 2019, 9:07 a.m.