expReg | R Documentation |
uses lm
; plots data if add=FALSE, draws the regression line
with abline
and confidence interval with polygon
and writes the formula with legend
expReg(
x,
y = NULL,
data = NULL,
logy = TRUE,
predictnew = NULL,
interval = "confidence",
plot = TRUE,
digits = 2,
inset = 0,
xpd = par("xpd"),
pos1 = "top",
pos2 = NULL,
add = FALSE,
pch = 16,
col = rgb(0, 0, 0, 0.5),
modcol = 2,
lwd = 1,
xlab = deparse(substitute(x)),
ylab = deparse(substitute(y)),
main = "exponential regression",
xlim = range(x),
ylim = range(y),
...
)
x |
Numeric or formula (see examples). Vector with values of explanatory variable |
y |
Numeric. Vector with values of dependent variable. DEFAULT: NULL |
data |
Dataframe. If x is a formula, the according columns from data are used as x and y. DEFAULT: NULL |
logy |
Plot with a logarithmic y axis? Calls |
predictnew |
Vector with values to predict outcome for. Passed as |
interval |
Interval for prediction. DEFAULT: "confidence" |
plot |
Plot things at all? If FALSE, predictnew will still be returned. DEFAULT: TRUE |
digits |
Numeric vector of length |
inset |
Numeric vector of length |
xpd |
Logical, specifying whether formula can be written only inside the plot region (when FALSE) or inside the figure region including mar (when TRUE) or in the entire device region including oma (when NA). DEFAULT: par("xpd") |
pos1 |
|
pos2 |
For numerical coordinates, this is the y-position. DEFAULT: NULL, as in |
add |
Logical. If TRUE, line and text are added to the existing graphic. DEFAULT: FALSE (plots datapoints first and then the line.) |
pch |
Point Character, see |
col |
Color of points, see |
modcol |
color of model line. DEFAULT: 2 |
lwd |
Numeric. Linewidth, see |
xlab , ylab , main |
Character / Expression. axis label and graph title if add=FALSE. DEFAULT: internal from names |
xlim , ylim |
graphic range. DEFAULT: range(x) |
... |
Further arguments passed to |
predict.lm
result.
Berry Boessenkool, berry-b@gmx.de, Dec. 2014
lm
, mReg
, linReg
.
x <- runif(100, 1, 10)
y <- 10^(0.3*x+rnorm(100, sd=0.3)+4)
plot(x,y)
expReg(x,y)
expReg(x,y, logy=FALSE)
expReg(x,y, predictnew=6, plot=FALSE)
expReg(x,y, predictnew=3:6, interval="none", plot=FALSE)
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