Created
January 25, 2012 05:12
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Adverse Event Dotplot for R
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require(lattice) | |
## The following functions are in the HH package | |
panel.ae.dotplot <- | |
function (x, y, groups, ..., col.AB, pch.AB, lower, upper) | |
{ | |
panel.num <- panel.number() | |
if (panel.num == 1) | |
panel.ae.leftplot(x, y, groups = groups, | |
col = col.AB, pch = pch.AB, ...) | |
if (panel.num == 2) | |
panel.ae.rightplot(x, y, ..., lwd = 6, pch = 16, | |
lower = lower, upper = upper) | |
} | |
panel.ae.leftplot <- function(x, y, groups, col.AB, ...) | |
{ | |
panel.abline(h = y, lty = 2, lwd = 0, col = 1) | |
panel.superpose(x, y, groups = groups, | |
col = col.AB, ...) | |
} | |
panel.ae.rightplot <- | |
function(x, y, ..., lwd = 6, lower, upper) | |
{ | |
panel.abline(v = 0, lty = 3, lwd = 0) | |
panel.abline(h = y, lty = 2, lwd = 0, col = 1) | |
panel.segments(lower, y, upper, y, lwd = 2) | |
panel.xyplot(x, y, ..., col = 1, cex = 0.7) | |
panel.points(lower, y, pch = 3, col = 1, cex = 0.4) | |
panel.points(upper, y, pch = 3, col = 1, cex = 0.4) | |
} | |
## Version of HH's ae.dotplot that uses risk difference and | |
## uses proportions instead of percents | |
riskdiff <- function(data, tx='treat', prefterm='PREF', | |
events='SAE', n='SN', | |
conf.int=.95) | |
{ | |
zcrit <- qnorm((1+conf.int)/2) | |
i <- order(data[[prefterm]], data[[tx]]) | |
data <- data[i,] | |
N <- data[[n]] | |
prop <- data[[events]]/N | |
pt <- data[[prefterm]] | |
treat <- data[[tx]] | |
if(nrow(data) != 2*length(unique(pt))) | |
stop('asymmetric data') | |
utrt <- sort(unique(as.character(treat))) | |
diff <- prop[treat==utrt[1]] - prop[treat==utrt[2]] | |
diff.order <- order(diff) | |
pt <- ordered(pt, levels=(pt[treat==utrt[1]])[diff.order]) | |
diff2 <- as.vector(rbind(diff, diff)) | |
p1 <- prop[treat==utrt[1]] | |
n1 <- N[treat==utrt[1]] | |
p2 <- prop[treat==utrt[2]] | |
n2 <- N[treat==utrt[2]] | |
se <- sqrt(p1*(1-p1)/n1 + p2*(1-p2)/n2) | |
se2 <- as.vector(rbind(se, se)) | |
lower <- diff2 - zcrit*se2 | |
upper <- diff2 + zcrit*se2 | |
data.frame(pt, treat, prop, diff=diff2, lower, upper) | |
} | |
# Original source of aeanonym: require(HH); | |
# aeanonym <- read.table(hh("datasets/aedotplot.dat"), header=TRUE, sep=",") | |
aeanonym <- | |
structure(list(RAND = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, | |
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, | |
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, | |
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, | |
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("TREATMENT A", | |
"TREATMENT B"), class = "factor"), PREF = structure(c(12L, 12L, | |
18L, 18L, 26L, 26L, 33L, 33L, 5L, 5L, 27L, 27L, 6L, 6L, 15L, | |
15L, 22L, 22L, 23L, 23L, 31L, 31L, 17L, 17L, 2L, 2L, 3L, 3L, | |
13L, 13L, 25L, 25L, 28L, 28L, 14L, 14L, 4L, 4L, 8L, 8L, 19L, | |
19L, 21L, 21L, 29L, 29L, 10L, 10L, 20L, 20L, 16L, 16L, 32L, 32L, | |
11L, 11L, 1L, 1L, 30L, 30L, 24L, 24L, 9L, 9L, 7L, 7L), .Label = c("ABDOMINAL PAIN", | |
"ANOREXIA", "ARTHRALGIA", "BACK PAIN", "BRONCHITIS", "CHEST PAIN", | |
"CHRONIC OBSTRUCTIVE AIRWAY", "COUGHING", "DIARRHEA", "DIZZINESS", | |
"DYSPEPSIA", "DYSPNEA", "FATIGUE", "FLATULENCE", "GASTROESOPHAGEAL REFLUX", | |
"HEADACHE", "HEMATURIA", "HYPERKALEMIA", "INFECTION VIRAL", "INJURY", | |
"INSOMNIA", "MELENA", "MYALGIA", "NAUSEA", "PAIN", "RASH", "RESPIRATORY DISORDER", | |
"RHINITIS", "SINUSITIS", "UPPER RESP TRACT INFECTION", "URINARY TRACT INFECTION", | |
"VOMITING", "WEIGHT DECREASE"), class = "factor"), SAE = c(15L, | |
9L, 4L, 9L, 4L, 9L, 2L, 9L, 8L, 11L, 4L, 11L, 9L, 12L, 5L, 12L, | |
7L, 12L, 6L, 12L, 6L, 12L, 2L, 14L, 2L, 15L, 1L, 15L, 4L, 16L, | |
4L, 17L, 11L, 17L, 6L, 20L, 10L, 23L, 13L, 26L, 12L, 26L, 4L, | |
26L, 13L, 28L, 9L, 29L, 12L, 30L, 14L, 36L, 6L, 37L, 8L, 42L, | |
20L, 61L, 33L, 68L, 10L, 82L, 23L, 90L, 76L, 95L), SN = c(216L, | |
431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, | |
216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, | |
431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, | |
216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, | |
431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, | |
216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L, 216L, 431L)), .Names = c("RAND", | |
"PREF", "SAE", "SN"), class = "data.frame", row.names = c(NA, | |
-66L)) | |
w <- riskdiff(aeanonym, tx='RAND', prefterm='PREF', | |
events='SAE', n='SN') | |
ae.dotplot <- | |
function(data, A.name = 'A', B.name = 'B', | |
col.AB = c("red", "blue"), pch.AB = c(16, 17), | |
main.title = "Most Frequent On-Therapy Adverse Events Sorted by Risk Difference", | |
main.cex = 1, cex.AB.points = NULL, | |
cex.AB.y.scale = 0.6, | |
position.left = c(0, 0, 0.7, 1), | |
position.right = c(0.61, 0, 0.98, 1), | |
key.y = -0.2, conf.int=0.95) | |
{ | |
r <- | |
dotplot(pt ~ prop + diff, | |
groups = data$treat, | |
data = data, outer = TRUE, | |
lower = data$lower, | |
upper = data$upper, | |
panel = panel.ae.dotplot, | |
scales = list(x = list(relation = "free", | |
limits = list(range(data$prop), | |
range(data$lower, data$upper))), | |
y = list(cex = cex.AB.y.scale)), | |
A.name = A.name, B.name = B.name, | |
col.AB = col.AB, pch.AB = pch.AB, | |
cex.AB.points = cex.AB.points, | |
cex.AB.y.scale = cex.AB.y.scale, | |
main = list(main.title, cex = main.cex), | |
xlab = NULL, between = list(x = 1), | |
key = list(y = key.y, x = 0.15, | |
points = list(col = col.AB, pch = pch.AB), | |
text = list(c(A.name, B.name), col = col.AB, | |
cex = 0.9), | |
columns = 2, between = 0.5, space = "bottom")) | |
r$condlevels[[1]] <- c("Proportion", | |
paste("Risk Difference with", | |
conf.int, "CI")) | |
r | |
} | |
ae.dotplot(w, A.name='A (N=216)', B.name='B (N=431)') |
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