Description Usage Format References See Also Examples
A data frame contains data on the recurrence of skin tumor. The original data is available in Table A.3. of Sun and Zhao (2013). This dataset contains records of 290 patients.
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This data frame contains the following columns:
id
: patient id (repeated for each recurrence).
time
: observation time.
age
: patient's age at enrollment.
male
: gender; male = 1, female = 0.
dfmo
: treatment (DFMO) group = 1; placebo = 0.
priorTumor
: number of prior tumor from diagnosis to randomization.
countBC
: number of newly developed basal cell carcinomas tumors since last observation time.
countSC
: number of newly developed squamous cell carcinomas tumors since last observation time.
count
: number of newly developed non-melanoma tumors
since last observation time; this is equal to countBC + countSC
.
Chiou, S., Xu, G., Yan, J., and Huang, C.-Y. (2017). Semiparametric estimation of the accelerated mean model with panel count data under informative examination times. Biometrics, to appear. <doi: 10.1111/biom.12840>.
Sun, J. and Zhao, X. (2013). Statistical Analysis of Panel Count Data. New York: Springer.
1 2 3 4 5 6 7 8 9 | data(skinTumor)
library(ggplot2)
ggplot(skinTumor, aes(time, id, width = 25, height = 2)) +
geom_tile(aes(fill = count)) + theme_bw() +
facet_grid(dfmo ~ ., scales = "free_y", as.table = FALSE,
labeller = labeller(dfmo = function(x) paste("DFMO =", x))) +
scale_fill_gradient(low = "grey", high = "black") +
scale_x_continuous(breaks = seq(0, 2000, 200)) +
labs(fill = "Count") + xlab("Time in days")
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