PlotSlope: Simple slopes plot
In pequod: Moderated Regression Package
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Simple slope plot for two and three way interactions.
Usage
1
2
PlotSlope(object, namemod = "default", namex = "default",
namey = "default", limitx = "default", limity = "default")
Arguments
object
an object of class "simpleSlope".
namemod
a character verctor of the moderator points. If "default" is used, default setting is printed.
namex
name of the predictor. If "default" is used, the predictor name in the dataframe is printed.
namey
name of the dependent variable. If "default" is used, the dataframe name is printed.
limitx
a numeric vector for setting limits of x axis.
limity
a numeric vector for setting limits of y axis.
Details
Plot for Simple slope analysis.
Value
PlotSlope returns an object of class "ggplot".
Author(s)
Alberto Mirisola and Luciano Seta
Examples
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## Default plot for three way interaction
library(car)
data(Highway1)
model3<-lmres(rate~len*trks*sigs1, centered=c("len","trks","sigs1"),data=Highway1)
S_slopes<-simpleSlope(model3,pred="len",mod1="trks", mod2="sigs1")
Plot<-PlotSlope(S_slopes)
## Personalized plot for three way interaction
library(car)
data(Highway1)
model3<-lmres(rate~len*trks*sigs1, centered=c("len","trks","sigs1"),data=Highway1)
S_slopes<-simpleSlope(model3,pred="len",mod1="trks", mod2="sigs1")
Plot<-PlotSlope(S_slopes, namemod=c("Low truck volume (-1SD),
Low number of signals per mile (-1 SD)","Low truck volume (-1SD),
High number of signals per mile (+1 SD)","High truck volume (+1SD),
Low number of signals per mile (-1 SD)","High truck volume (+1SD),
High number of signals per mile (+1 SD)"),
namex="length of the Highway1\n segment in miles",
namey="1973 accident rate \n per million vehicle miles",
limitx=c(-9,9), limity=c(-2,9))
## The function is currently defined as
function(object, namemod = "default",
namex = "default", namey = "default", limitx = "default",
limity = "default") {
pmatr <- object$Points
nomY <- object$nomY
nomX <- object$nomX
X_1L <- object$X_1L
X_1H <- object$X_1H
if (object$orde == 2) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = c(r1, r2))
}
if (length(namemod) > 1) {
if (length(namemod) != 2) {
stop("length of namemod vector must be = 2")
}
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = namemod)
}
if (namex != "default") {
if (length(limitx) == 2) {
p1 <- p1 + scale_x_continuous(namex, limits = limitx)
}
else {
p1 <- p1 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p1 <- p1 + scale_y_continuous(namey, limits = limity)
}
else {
p1 <- p1 + scale_y_continuous(namey)
}
}
return(p1)
}
if (object$orde == 3) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
r3 <- nam[3]
r4 <- nam[4]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6, 7, 8)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = c(r1, r2, r3,
r4))
}
if (length(namemod) > 1) {
if (length(namemod) != 4) {
stop("length of namemod vector must be = 4")
}
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = namemod)
}
p2 <- p1
if (namex != "default") {
if (length(limitx) == 2) {
p2 <- p2 + scale_x_continuous(namex, limits = limitx)
}
else {
p2 <- p2 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p2 <- p2 + scale_y_continuous(namey, limits = limity)
}
else {
p2 <- p2 + scale_y_continuous(namey)
}
}
return(p2)
}
}
Example output
Loading required package: ggplot2
Loading required package: car
Scale for 'x' is already present. Adding another scale for 'x', which will
replace the existing scale.
Scale for 'y' is already present. Adding another scale for 'y', which will
replace the existing scale.
function (object, namemod = "default", namex = "default", namey = "default",
limitx = "default", limity = "default")
{
pmatr <- object$Points
nomY <- object$nomY
nomX <- object$nomX
X_1L <- object$X_1L
X_1H <- object$X_1H
if (object$orde == 2) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = c(r1, r2))
}
if (length(namemod) > 1) {
if (length(namemod) != 2) {
stop("length of namemod vector must be = 2")
}
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = namemod)
}
if (namex != "default") {
if (length(limitx) == 2) {
p1 <- p1 + scale_x_continuous(namex, limits = limitx)
}
else {
p1 <- p1 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p1 <- p1 + scale_y_continuous(namey, limits = limity)
}
else {
p1 <- p1 + scale_y_continuous(namey)
}
}
return(p1)
}
if (object$orde == 3) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
r3 <- nam[3]
r4 <- nam[4]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6, 7, 8)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = c(r1, r2, r3,
r4))
}
if (length(namemod) > 1) {
if (length(namemod) != 4) {
stop("length of namemod vector must be = 4")
}
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = namemod)
}
p2 <- p1
if (namex != "default") {
if (length(limitx) == 2) {
p2 <- p2 + scale_x_continuous(namex, limits = limitx)
}
else {
p2 <- p2 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p2 <- p2 + scale_y_continuous(namey, limits = limity)
}
else {
p2 <- p2 + scale_y_continuous(namey)
}
}
return(p2)
}
}
pequod documentation built on May 2, 2019, 7:11 a.m.
R Package Documentation
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Description Usage Arguments Details Value Author(s) Examples
Description
Simple slope plot for two and three way interactions.
Usage
1 2 | PlotSlope(object, namemod = "default", namex = "default",
namey = "default", limitx = "default", limity = "default")
|
Arguments
object |
an object of class "simpleSlope". |
namemod |
a character verctor of the moderator points. If "default" is used, default setting is printed. |
namex |
name of the predictor. If "default" is used, the predictor name in the dataframe is printed. |
namey |
name of the dependent variable. If "default" is used, the dataframe name is printed. |
limitx |
a numeric vector for setting limits of x axis. |
limity |
a numeric vector for setting limits of y axis. |
Details
Plot for Simple slope analysis.
Value
PlotSlope returns an object of class "ggplot".
Author(s)
Alberto Mirisola and Luciano Seta
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 |
## Default plot for three way interaction
library(car)
data(Highway1)
model3<-lmres(rate~len*trks*sigs1, centered=c("len","trks","sigs1"),data=Highway1)
S_slopes<-simpleSlope(model3,pred="len",mod1="trks", mod2="sigs1")
Plot<-PlotSlope(S_slopes)
## Personalized plot for three way interaction
library(car)
data(Highway1)
model3<-lmres(rate~len*trks*sigs1, centered=c("len","trks","sigs1"),data=Highway1)
S_slopes<-simpleSlope(model3,pred="len",mod1="trks", mod2="sigs1")
Plot<-PlotSlope(S_slopes, namemod=c("Low truck volume (-1SD),
Low number of signals per mile (-1 SD)","Low truck volume (-1SD),
High number of signals per mile (+1 SD)","High truck volume (+1SD),
Low number of signals per mile (-1 SD)","High truck volume (+1SD),
High number of signals per mile (+1 SD)"),
namex="length of the Highway1\n segment in miles",
namey="1973 accident rate \n per million vehicle miles",
limitx=c(-9,9), limity=c(-2,9))
## The function is currently defined as
function(object, namemod = "default",
namex = "default", namey = "default", limitx = "default",
limity = "default") {
pmatr <- object$Points
nomY <- object$nomY
nomX <- object$nomX
X_1L <- object$X_1L
X_1H <- object$X_1H
if (object$orde == 2) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = c(r1, r2))
}
if (length(namemod) > 1) {
if (length(namemod) != 2) {
stop("length of namemod vector must be = 2")
}
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = namemod)
}
if (namex != "default") {
if (length(limitx) == 2) {
p1 <- p1 + scale_x_continuous(namex, limits = limitx)
}
else {
p1 <- p1 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p1 <- p1 + scale_y_continuous(namey, limits = limity)
}
else {
p1 <- p1 + scale_y_continuous(namey)
}
}
return(p1)
}
if (object$orde == 3) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
r3 <- nam[3]
r4 <- nam[4]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6, 7, 8)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = c(r1, r2, r3,
r4))
}
if (length(namemod) > 1) {
if (length(namemod) != 4) {
stop("length of namemod vector must be = 4")
}
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = namemod)
}
p2 <- p1
if (namex != "default") {
if (length(limitx) == 2) {
p2 <- p2 + scale_x_continuous(namex, limits = limitx)
}
else {
p2 <- p2 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p2 <- p2 + scale_y_continuous(namey, limits = limity)
}
else {
p2 <- p2 + scale_y_continuous(namey)
}
}
return(p2)
}
}
|
Example output
Loading required package: ggplot2
Loading required package: car
Scale for 'x' is already present. Adding another scale for 'x', which will
replace the existing scale.
Scale for 'y' is already present. Adding another scale for 'y', which will
replace the existing scale.
function (object, namemod = "default", namex = "default", namey = "default",
limitx = "default", limity = "default")
{
pmatr <- object$Points
nomY <- object$nomY
nomX <- object$nomX
X_1L <- object$X_1L
X_1H <- object$X_1H
if (object$orde == 2) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = c(r1, r2))
}
if (length(namemod) > 1) {
if (length(namemod) != 2) {
stop("length of namemod vector must be = 2")
}
p1 <- p1 + scale_shape(name = "Moderator", breaks = c(5,
6), labels = namemod)
}
if (namex != "default") {
if (length(limitx) == 2) {
p1 <- p1 + scale_x_continuous(namex, limits = limitx)
}
else {
p1 <- p1 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p1 <- p1 + scale_y_continuous(namey, limits = limity)
}
else {
p1 <- p1 + scale_y_continuous(namey)
}
}
return(p1)
}
if (object$orde == 3) {
nam <- dimnames(object$simple_slope)[1]
nam <- nam[[1]]
r1 <- nam[1]
r2 <- nam[2]
r3 <- nam[3]
r4 <- nam[4]
xini <- rep(X_1L, 4)
xend <- rep(X_1H, 4)
fact <- c(5, 6, 7, 8)
mat <- cbind(fact, xini, pmatr[, 1], xend, pmatr[, 2])
mat <- as.data.frame(mat)
names(mat) <- c("fact", "xini", "yini", "xend", "yend")
p <- ggplot(mat, aes(x = xini, y = yini))
p1 <- p + geom_segment(aes(xend = xend, yend = yend))
p1 <- p1 + scale_x_continuous(nomX) + scale_y_continuous(nomY)
p1 <- p1 + geom_point(size = 3, aes(shape = factor(fact))) +
geom_point(aes(x = xend, y = yend, shape = factor(fact)),
size = 3)
if (length(namemod) == 1) {
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = c(r1, r2, r3,
r4))
}
if (length(namemod) > 1) {
if (length(namemod) != 4) {
stop("length of namemod vector must be = 4")
}
p1 <- p1 + scale_shape(name = "Moderators Combination",
breaks = c(5, 6, 7, 8), labels = namemod)
}
p2 <- p1
if (namex != "default") {
if (length(limitx) == 2) {
p2 <- p2 + scale_x_continuous(namex, limits = limitx)
}
else {
p2 <- p2 + scale_x_continuous(namex)
}
}
if (namey != "default") {
if (length(limity) == 2) {
p2 <- p2 + scale_y_continuous(namey, limits = limity)
}
else {
p2 <- p2 + scale_y_continuous(namey)
}
}
return(p2)
}
}
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