This dataset features cancer infiltration rates and microsatellites data.
Format
A data frame with 106 rows and 60 variables.
CELTUMCOa numeric vector
agea numeric vector
sexea numeric vector
HISTOADKa numeric vector
H2a numeric vector
P3a numeric vector
P4a numeric vector
E1a numeric vector
P5a numeric vector
R10a numeric vector
C3Ma numeric vector
P6a numeric vector
RBa numeric vector
FL7Aa numeric vector
P53a numeric vector
W2a numeric vector
P2a numeric vector
P1a numeric vector
W4a numeric vector
MT1a numeric vector
MT2a numeric vector
MT4a numeric vector
MT3a numeric vector
HLAa numeric vector
HLDa numeric vector
HLCa numeric vector
HLBa numeric vector
EA1a numeric vector
EA3a numeric vector
EA2a numeric vector
EA4a numeric vector
EB1a numeric vector
EB2a numeric vector
EB3a numeric vector
EB4a numeric vector
EGF1a numeric vector
EGF2a numeric vector
EGF3a numeric vector
EGF4a numeric vector
EGF5a numeric vector
EGF6a numeric vector
FL7Ba numeric vector
VSFGF7a numeric vector
F3Aa numeric vector
F3Ba numeric vector
VSFGFR3a numeric vector
F4a numeric vector
Q5a numeric vector
VSTOP1a numeric vector
VSTOP2Aa numeric vector
VSEGFRa numeric vector
AFRAEGFRa numeric vector
SRXRAa numeric vector
SMTa numeric vector
QMTAMPNa numeric vector
QMTDELNa numeric vector
SHLa numeric vector
SEAa numeric vector
SEBa numeric vector
QPCRFGF7a numeric vector
References
Régression Bêta PLS. (French) [PLS Beta regression.],
F. Bertrand, N. Meyer, M. Beau-Faller, K. El Bayed, N. Izzie-J.,
M. Maumy-Bertrand, (2013), J. SFdS, 154(3):143-159
Partial Least Squares Regression for Beta Regression Models.
F. Bertrand, M. Maumy (2021). useR! 2021, Zurich.
Examples
data
#> function (..., list = character(), package = NULL, lib.loc = NULL,
#> verbose = getOption("verbose"), envir = .GlobalEnv, overwrite = TRUE)
#> {
#> fileExt <- function(x) {
#> db <- grepl("\\.[^.]+\\.(gz|bz2|xz)$", x)
#> ans <- sub(".*\\.", "", x)
#> ans[db] <- sub(".*\\.([^.]+\\.)(gz|bz2|xz)$", "\\1\\2",
#> x[db])
#> ans
#> }
#> my_read_table <- function(...) {
#> lcc <- Sys.getlocale("LC_COLLATE")
#> on.exit(Sys.setlocale("LC_COLLATE", lcc))
#> Sys.setlocale("LC_COLLATE", "C")
#> read.table(...)
#> }
#> stopifnot(is.character(list))
#> names <- c(as.character(substitute(list(...))[-1L]), list)
#> if (!is.null(package)) {
#> if (!is.character(package))
#> stop("'package' must be a character vector or NULL")
#> }
#> paths <- find.package(package, lib.loc, verbose = verbose)
#> if (is.null(lib.loc))
#> paths <- c(path.package(package, TRUE), if (!length(package)) getwd(),
#> paths)
#> paths <- unique(normalizePath(paths[file.exists(paths)]))
#> paths <- paths[dir.exists(file.path(paths, "data"))]
#> dataExts <- tools:::.make_file_exts("data")
#> if (length(names) == 0L) {
#> db <- matrix(character(), nrow = 0L, ncol = 4L)
#> for (path in paths) {
#> entries <- NULL
#> packageName <- if (file_test("-f", file.path(path,
#> "DESCRIPTION")))
#> basename(path)
#> else "."
#> if (file_test("-f", INDEX <- file.path(path, "Meta",
#> "data.rds"))) {
#> entries <- readRDS(INDEX)
#> }
#> else {
#> dataDir <- file.path(path, "data")
#> entries <- tools::list_files_with_type(dataDir,
#> "data")
#> if (length(entries)) {
#> entries <- unique(tools::file_path_sans_ext(basename(entries)))
#> entries <- cbind(entries, "")
#> }
#> }
#> if (NROW(entries)) {
#> if (is.matrix(entries) && ncol(entries) == 2L)
#> db <- rbind(db, cbind(packageName, dirname(path),
#> entries))
#> else warning(gettextf("data index for package %s is invalid and will be ignored",
#> sQuote(packageName)), domain = NA, call. = FALSE)
#> }
#> }
#> colnames(db) <- c("Package", "LibPath", "Item", "Title")
#> footer <- if (missing(package))
#> paste0("Use ", sQuote(paste("data(package =", ".packages(all.available = TRUE))")),
#> "\n", "to list the data sets in all *available* packages.")
#> else NULL
#> y <- list(title = "Data sets", header = NULL, results = db,
#> footer = footer)
#> class(y) <- "packageIQR"
#> return(y)
#> }
#> paths <- file.path(paths, "data")
#> for (name in names) {
#> found <- FALSE
#> for (p in paths) {
#> tmp_env <- if (overwrite)
#> envir
#> else new.env()
#> if (file_test("-f", file.path(p, "Rdata.rds"))) {
#> rds <- readRDS(file.path(p, "Rdata.rds"))
#> if (name %in% names(rds)) {
#> found <- TRUE
#> if (verbose)
#> message(sprintf("name=%s:\t found in Rdata.rds",
#> name), domain = NA)
#> thispkg <- sub(".*/([^/]*)/data$", "\\1", p)
#> thispkg <- sub("_.*$", "", thispkg)
#> thispkg <- paste0("package:", thispkg)
#> objs <- rds[[name]]
#> lazyLoad(file.path(p, "Rdata"), envir = tmp_env,
#> filter = function(x) x %in% objs)
#> break
#> }
#> else if (verbose)
#> message(sprintf("name=%s:\t NOT found in names() of Rdata.rds, i.e.,\n\t%s\n",
#> name, paste(names(rds), collapse = ",")),
#> domain = NA)
#> }
#> files <- list.files(p, full.names = TRUE)
#> files <- files[grep(name, files, fixed = TRUE)]
#> if (length(files) > 1L) {
#> o <- match(fileExt(files), dataExts, nomatch = 100L)
#> paths0 <- dirname(files)
#> paths0 <- factor(paths0, levels = unique(paths0))
#> files <- files[order(paths0, o)]
#> }
#> if (length(files)) {
#> for (file in files) {
#> if (verbose)
#> message("name=", name, ":\t file= ...", .Platform$file.sep,
#> basename(file), "::\t", appendLF = FALSE,
#> domain = NA)
#> ext <- fileExt(file)
#> if (basename(file) != paste0(name, ".", ext))
#> found <- FALSE
#> else {
#> found <- TRUE
#> switch(ext, R = , r = {
#> library("utils")
#> sys.source(file, chdir = TRUE, envir = tmp_env)
#> }, RData = , rdata = , rda = load(file, envir = tmp_env),
#> TXT = , txt = , tab = , tab.gz = , tab.bz2 = ,
#> tab.xz = , txt.gz = , txt.bz2 = , txt.xz = assign(name,
#> my_read_table(file, header = TRUE, as.is = FALSE),
#> envir = tmp_env), CSV = , csv = , csv.gz = ,
#> csv.bz2 = , csv.xz = assign(name, my_read_table(file,
#> header = TRUE, sep = ";", as.is = FALSE),
#> envir = tmp_env), found <- FALSE)
#> }
#> if (found)
#> break
#> }
#> if (verbose)
#> message(if (!found)
#> "*NOT* ", "found", domain = NA)
#> }
#> if (found)
#> break
#> }
#> if (!found) {
#> warning(gettextf("data set %s not found", sQuote(name)),
#> domain = NA)
#> }
#> else if (!overwrite) {
#> for (o in ls(envir = tmp_env, all.names = TRUE)) {
#> if (exists(o, envir = envir, inherits = FALSE))
#> warning(gettextf("an object named %s already exists and will not be overwritten",
#> sQuote(o)))
#> else assign(o, get(o, envir = tmp_env, inherits = FALSE),
#> envir = envir)
#> }
#> rm(tmp_env)
#> }
#> }
#> invisible(names)
#> }
#> <bytecode: 0x12bd7bd60>
#> <environment: namespace:utils>
print(TxTum)
#> CELTUMCO age sexe HISTOADK H2 P3 P4 E1 P5 R10 C3M P6 RB FL7A P53 W2 P2 P1
#> 1 80 59 1 1 NA 1 NA 1 NA 1 1 1 NA 1 NA 1 1 0
#> 2 99 67 1 1 1 1 1 1 1 1 NA 1 1 0 1 0 0 0
#> 3 20 60 1 0 0 1 0 0 NA 1 NA 0 0 0 1 0 0 0
#> 4 90 65 1 1 1 1 1 1 0 NA 0 0 0 1 1 1 0 0
#> 5 50 43 1 1 1 1 1 NA NA NA 1 0 0 NA 1 1 1 0
#> 6 80 67 0 1 1 NA NA NA 0 1 1 NA 1 1 1 0 0 0
#> 7 40 53 1 1 1 1 0 1 1 1 1 0 1 1 0 0 0 NA
#> 8 70 66 1 0 0 0 0 1 1 NA 1 NA 1 1 1 1 1 0
#> 9 60 71 1 1 1 1 1 NA NA 1 1 1 1 NA 1 NA 1 1
#> 10 90 65 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1
#> 11 40 77 0 0 0 0 NA NA 0 1 1 NA NA 1 0 NA NA 0
#> 12 70 62 1 NA 1 NA 1 1 1 NA 1 1 1 1 1 NA 0 1
#> 13 40 76 0 1 NA 1 NA 1 0 NA 0 0 0 0 1 NA 1 0
#> 14 80 51 1 0 1 0 1 1 NA 1 1 1 1 NA 0 NA 0 0
#> 15 30 73 1 NA 1 1 0 NA 0 0 1 NA NA NA 1 0 0 1
#> 16 90 69 0 0 0 0 0 1 1 1 NA 1 1 1 1 0 0 0
#> 17 30 65 1 1 1 1 1 1 1 0 1 1 1 0 NA 1 1 0
#> 18 30 62 1 1 1 NA 1 1 NA 1 1 1 1 1 1 NA 1 NA
#> 19 30 41 1 1 1 1 NA 0 NA 1 1 0 1 0 1 0 0 0
#> 20 65 80 1 1 1 1 0 1 0 1 NA 0 1 NA NA NA NA 0
#> 21 45 61 1 NA NA 1 1 0 NA 1 NA 1 1 1 1 NA 1 NA
#> 22 40 74 1 1 NA NA 1 1 0 1 1 0 NA 0 1 NA NA 1
#> 23 20 56 1 0 0 1 NA 1 0 NA 0 NA 1 0 1 1 0 0
#> 24 40 45 1 NA 1 1 1 NA 0 1 0 NA 0 0 1 NA 0 NA
#> 25 70 59 0 0 1 1 1 NA 0 1 1 1 NA 1 NA 1 1 0
#> 26 70 62 0 0 0 0 0 1 1 1 NA 1 1 1 1 1 1 1
#> 27 40 52 1 1 1 1 1 NA NA NA 1 1 0 NA 1 1 1 0
#> 28 50 75 1 1 1 1 1 0 1 0 0 0 1 0 1 1 NA 1
#> 29 80 55 1 1 NA NA NA 1 0 1 NA 1 1 1 1 NA 0 0
#> 30 50 51 1 1 1 1 1 NA 0 1 1 1 1 0 1 1 1 0
#> 31 45 68 1 1 1 1 1 1 0 1 NA NA 0 1 1 0 NA 0
#> 32 90 64 1 1 1 1 NA 1 1 1 1 NA NA 1 1 1 1 0
#> 33 90 69 1 1 NA 1 NA 1 NA 1 NA 1 1 NA NA 1 1 0
#> 34 50 68 0 1 NA 1 1 1 1 1 1 1 1 0 1 1 1 0
#> 35 60 70 1 0 0 0 NA 0 0 1 1 1 1 1 1 NA 1 1
#> 36 70 49 1 1 NA NA 1 0 1 NA 0 0 1 1 1 0 0 0
#> 37 50 54 1 1 NA 1 1 NA 1 1 1 0 1 1 1 0 0 1
#> 38 20 61 0 0 0 NA 0 1 0 1 NA NA 1 0 0 1 1 0
#> 39 70 44 1 1 NA 1 1 0 1 0 1 1 1 0 1 NA 1 0
#> 40 60 73 1 1 NA NA 1 1 0 1 1 1 NA 1 1 1 1 1
#> 41 20 51 1 1 1 0 0 0 0 0 1 1 0 NA NA 0 0 1
#> 42 50 60 1 1 1 NA 1 1 NA NA NA 1 1 NA 1 NA 1 NA
#> 43 50 65 1 1 NA 1 1 0 0 0 NA 1 1 1 1 NA 1 0
#> 44 30 60 1 1 1 1 0 1 0 1 NA 1 0 1 1 0 NA 0
#> 45 40 49 1 0 NA 0 NA 0 1 1 1 1 1 1 1 1 1 0
#> 46 50 44 0 NA 0 0 0 1 0 0 0 0 NA 0 1 0 0 1
#> 47 60 44 1 1 1 1 1 1 0 1 1 1 NA 1 1 1 1 1
#> 48 90 64 1 1 NA NA 1 1 0 1 1 1 1 1 1 0 0 1
#> 49 70 52 1 1 1 1 1 1 0 1 NA 1 NA 1 1 1 NA NA
#> 50 30 54 0 0 0 NA 1 NA 1 NA 0 0 0 1 0 1 1 NA
#> 51 80 64 1 1 NA 1 1 1 1 1 NA 1 1 0 1 NA 0 NA
#> 52 30 76 1 0 0 0 0 1 0 1 NA 1 1 0 1 0 1 NA
#> 53 50 70 1 1 0 1 NA 1 0 1 1 1 1 0 NA NA 0 0
#> 54 90 51 1 1 NA 1 1 1 0 1 NA 1 1 1 1 1 1 1
#> 55 50 60 1 1 NA 1 NA 1 1 1 1 1 1 0 1 1 1 0
#> 56 40 76 1 1 1 1 1 0 1 0 NA 1 1 1 1 0 0 NA
#> 57 40 64 0 NA NA NA 0 1 1 1 1 1 0 1 0 1 1 1
#> 58 30 72 1 1 1 0 NA 0 1 1 1 NA 1 NA 1 1 NA 0
#> 59 50 52 1 1 1 NA 1 1 0 NA 1 1 0 0 1 1 1 0
#> 60 50 75 1 1 1 1 NA 1 1 1 0 NA 1 1 0 NA 0 0
#> 61 80 74 0 NA NA NA 1 NA 0 1 NA 1 1 1 1 0 0 0
#> 62 20 52 1 1 1 1 NA 1 NA NA NA 1 NA 1 1 0 1 0
#> 63 80 71 1 1 1 1 1 1 NA 1 1 1 1 1 1 NA 1 NA
#> 64 40 48 1 1 0 0 NA 1 0 0 1 1 1 NA 1 0 0 0
#> 65 40 70 1 1 NA 1 1 1 1 1 NA 1 1 NA NA 1 1 0
#> 66 30 55 1 1 NA 1 0 1 NA 1 NA 0 1 NA 1 NA 0 1
#> 67 60 53 1 NA 1 NA 1 1 NA 0 0 0 1 0 1 1 NA 0
#> 68 20 43 1 NA 1 0 1 0 0 NA 0 0 0 NA NA NA 0 0
#> 69 20 61 1 1 1 NA 0 0 NA NA 0 0 1 1 NA 0 0 0
#> 70 90 68 1 NA 1 1 1 NA 0 1 NA 1 NA 1 1 NA 0 NA
#> 71 99 62 1 1 NA 1 1 1 0 0 0 0 1 1 1 0 0 0
#> 72 60 79 1 0 NA 0 0 NA 0 0 1 0 0 NA 0 1 1 0
#> 73 70 52 0 0 0 0 NA NA 1 0 0 0 1 NA 1 0 0 1
#> 74 70 67 1 1 1 NA NA 1 1 1 NA 1 1 NA 1 0 0 1
#> 75 30 61 1 1 1 1 NA NA 1 0 NA 0 0 1 1 1 0 1
#> 76 20 63 0 NA 1 1 1 NA 0 1 1 1 1 0 1 0 NA NA
#> 77 30 50 1 1 1 NA NA 1 NA NA 1 1 1 1 1 1 NA 1
#> 78 30 68 1 0 0 0 1 0 1 0 0 NA 0 0 1 NA 0 NA
#> 79 30 66 1 1 1 1 1 1 NA NA NA 0 1 NA NA 0 0 0
#> 80 35 41 0 1 NA 1 1 1 1 1 0 0 1 NA 1 NA 0 NA
#> 81 50 58 0 NA 1 1 1 1 NA NA 1 1 1 NA 1 NA NA 1
#> 82 20 50 1 0 1 0 0 0 1 NA NA 1 1 NA 0 0 0 0
#> 83 40 70 1 0 0 0 0 NA NA 0 0 0 0 0 1 NA 0 1
#> 84 50 63 1 NA 1 NA NA 1 NA 1 NA NA NA NA 1 0 0 0
#> 85 30 70 1 1 1 1 1 0 0 0 NA 0 NA 1 0 0 0 1
#> 86 50 79 1 1 1 1 NA 1 NA NA 1 1 0 1 1 0 0 0
#> 87 50 52 1 1 1 1 NA 1 0 1 NA 1 NA 0 1 NA 1 1
#> 88 50 60 1 1 1 1 1 1 0 1 1 0 0 1 NA 0 1 NA
#> 89 50 71 1 1 NA NA 1 1 1 1 1 1 NA 1 1 NA 0 1
#> 90 50 66 1 1 NA 1 1 1 1 NA 0 0 1 NA 0 0 NA 1
#> 91 20 62 1 NA 1 1 0 NA NA NA 0 0 1 0 1 0 0 NA
#> 92 50 77 1 0 NA 0 NA 0 1 1 1 1 1 0 1 1 1 1
#> 93 60 73 1 1 1 1 1 NA 0 1 NA 0 1 NA 1 1 NA 1
#> 94 50 55 1 1 NA NA 1 NA NA 0 1 1 1 NA 1 1 NA 1
#> 95 30 53 0 1 1 1 1 1 1 1 NA 1 NA 1 0 0 1 0
#> 96 30 73 1 1 NA NA 1 NA 1 NA NA 1 0 NA 1 1 1 NA
#> 97 50 49 0 1 NA 1 1 1 1 NA NA 1 1 1 1 NA 1 1
#> 98 50 44 0 1 NA 1 1 0 NA 1 1 1 1 0 1 1 1 0
#> 99 30 65 0 1 1 1 1 0 0 1 1 1 1 NA 0 1 1 1
#> 100 80 52 1 1 1 1 1 1 1 NA 1 1 1 1 1 0 0 1
#> 101 40 67 1 1 1 1 NA 1 0 1 1 1 1 1 NA 1 1 NA
#> 102 30 67 1 0 0 NA 0 1 0 1 NA 0 1 NA 0 1 1 1
#> 103 30 55 0 0 NA 0 0 1 1 NA 1 NA 1 NA NA NA 0 1
#> 104 30 50 1 1 1 1 1 1 NA NA 1 NA 1 0 1 0 0 NA
#> 105 20 50 1 1 1 1 0 0 0 1 NA 1 0 1 1 1 1 0
#> 106 30 74 0 0 0 0 1 1 NA 0 NA 0 NA 1 0 NA 0 0
#> W4 MT1 MT2 MT4 MT3 HLA HLD HLC HLB EA1 EA3 EA2 EA4 EB1 EB2 EB3 EB4 EGF1
#> 1 0 NA 0 0 1 NA 0 0 0 1 1 1 1 NA 1 1 1 1
#> 2 NA 1 NA 1 1 1 1 1 1 0 0 NA 0 NA NA NA 1 1
#> 3 0 0 0 0 NA 0 0 0 NA NA NA 0 0 1 1 NA 1 NA
#> 4 NA NA NA 0 0 0 0 0 NA 0 NA NA 0 0 0 0 0 NA
#> 5 0 0 NA 0 NA 0 0 NA NA 0 0 0 NA 0 0 0 NA NA
#> 6 NA NA 1 1 NA 1 1 1 1 NA 0 NA NA NA NA 0 1 NA
#> 7 0 NA 1 1 0 1 1 1 1 0 0 0 NA 1 NA 1 NA 1
#> 8 0 1 1 1 NA NA 1 NA 1 1 1 1 1 NA 1 1 1 NA
#> 9 NA NA 1 1 1 0 NA NA NA 1 1 1 1 NA 1 1 NA NA
#> 10 1 0 0 0 NA 0 NA NA 0 1 NA 1 1 NA 0 0 0 1
#> 11 NA NA 0 0 0 0 0 NA 0 0 0 NA NA NA 1 1 NA NA
#> 12 0 NA NA 0 0 NA 0 1 0 NA NA 0 0 1 NA 1 NA 0
#> 13 0 1 NA 1 1 1 1 1 NA 1 NA 1 NA NA NA 1 NA NA
#> 14 0 1 NA NA 1 1 1 1 1 NA NA 1 1 1 1 1 1 NA
#> 15 NA 0 NA NA NA 0 NA 0 0 0 0 0 0 NA NA NA 1 0
#> 16 0 1 NA 1 NA 1 1 0 1 NA 1 NA 1 NA 1 1 1 1
#> 17 0 0 NA 0 NA 0 NA NA 0 0 NA 0 NA 0 0 0 NA NA
#> 18 0 1 NA NA 1 NA NA NA 0 1 1 1 1 0 0 0 0 NA
#> 19 0 0 0 NA NA 0 0 NA 0 NA NA NA NA 0 0 NA 0 0
#> 20 1 1 NA NA 1 1 0 NA 0 1 1 1 1 1 1 1 1 1
#> 21 1 0 NA 0 NA 0 0 NA NA NA 0 0 NA 0 0 NA 0 0
#> 22 NA 0 0 0 0 0 0 0 NA NA 0 NA 0 0 NA NA 0 NA
#> 23 0 0 0 0 NA 0 NA 0 0 0 0 0 0 NA 0 0 0 1
#> 24 1 1 1 1 1 NA 1 NA 1 0 0 0 NA 0 0 0 0 NA
#> 25 NA 1 1 1 NA NA 1 1 1 1 1 1 NA 1 1 NA NA NA
#> 26 1 0 0 0 NA 0 NA 0 NA 1 1 1 1 NA NA 1 1 NA
#> 27 0 0 NA 0 NA 0 0 NA NA 0 0 0 NA 0 0 1 NA NA
#> 28 0 NA 1 1 NA 1 1 1 1 NA 0 0 0 NA 1 1 1 NA
#> 29 0 1 1 1 1 1 1 1 NA 1 1 NA NA 1 1 1 1 NA
#> 30 NA 1 1 1 NA 1 NA NA 1 NA 1 1 1 1 1 NA 1 1
#> 31 NA 1 1 NA 1 NA NA NA 1 NA NA 1 1 1 1 1 1 1
#> 32 NA NA 0 0 NA NA 0 0 0 NA 1 1 1 1 1 1 1 NA
#> 33 0 1 1 1 NA NA NA NA 1 NA 1 1 1 NA 1 NA 1 1
#> 34 0 1 1 1 NA 1 1 1 NA 1 NA 1 1 1 NA 1 1 1
#> 35 NA NA NA NA 1 1 1 NA 1 0 0 0 0 0 0 NA NA NA
#> 36 0 NA 0 0 0 0 NA NA 0 1 1 NA 1 1 NA NA 1 1
#> 37 0 NA NA 0 NA 0 1 NA NA NA 0 NA 0 0 0 NA 0 1
#> 38 NA 1 1 1 1 NA 1 1 1 NA 0 0 0 0 NA NA 0 0
#> 39 0 1 1 NA NA NA NA NA 0 1 NA 1 1 0 0 0 NA 0
#> 40 0 1 1 NA 0 NA NA NA 0 NA 0 0 NA 0 NA 0 0 0
#> 41 NA NA 0 NA 0 0 0 NA 0 NA 0 0 0 0 0 NA 0 0
#> 42 1 NA NA 0 NA 1 1 NA 1 1 1 1 NA NA NA 0 0 NA
#> 43 NA NA 1 1 NA 1 NA NA 1 1 1 0 NA 1 NA NA 1 1
#> 44 0 0 NA NA 0 0 0 NA NA 0 0 0 0 NA 0 NA NA NA
#> 45 0 0 0 0 0 0 0 NA 0 0 NA 0 1 1 NA 1 NA 1
#> 46 NA 1 NA 1 NA 1 NA NA 1 NA NA 0 NA 0 0 0 0 NA
#> 47 1 0 0 0 NA NA 0 NA NA NA NA 1 NA 0 NA 0 0 NA
#> 48 NA 0 0 NA 0 0 0 NA 0 1 0 1 1 NA 1 1 1 0
#> 49 1 NA 1 1 1 NA NA NA NA 1 NA 1 NA 1 NA NA 1 1
#> 50 NA 1 1 1 NA NA 0 0 1 1 1 1 1 NA 1 1 1 0
#> 51 0 NA NA NA 0 0 0 NA 0 NA NA NA 1 NA NA 1 1 0
#> 52 0 0 NA NA 0 0 0 NA NA 1 1 1 1 0 NA 1 1 NA
#> 53 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1
#> 54 1 NA 1 1 NA 1 1 NA 1 1 1 1 1 NA NA NA NA 0
#> 55 0 0 1 0 0 NA NA NA NA NA NA NA NA NA NA NA NA 0
#> 56 NA 1 1 1 NA 1 1 NA NA NA 0 0 0 0 0 0 0 1
#> 57 NA 1 NA 1 NA 0 NA 0 0 NA 1 1 1 1 1 NA NA NA
#> 58 NA 0 0 0 0 NA 0 NA 0 NA NA NA 1 0 0 0 0 1
#> 59 0 NA 0 0 NA 0 0 NA 0 NA 0 0 0 1 NA 1 NA 1
#> 60 NA NA 0 0 0 0 0 NA 0 0 0 0 0 1 1 1 NA 0
#> 61 NA 0 NA 0 0 0 0 0 0 NA NA 1 1 0 0 0 NA 0
#> 62 0 1 1 1 NA 1 1 NA 1 NA 1 1 1 1 1 1 NA NA
#> 63 NA NA 1 1 NA 1 1 NA 1 NA NA NA NA NA 1 1 1 NA
#> 64 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 1 1 1 NA
#> 65 0 0 0 0 0 0 0 NA 0 NA NA 1 NA 0 0 0 NA 0
#> 66 0 1 1 NA 1 NA NA NA 1 0 0 0 0 0 NA 0 0 0
#> 67 NA NA 1 1 NA 1 1 NA 1 0 0 0 NA 0 1 1 1 NA
#> 68 0 0 0 0 0 0 0 NA 0 1 NA NA NA NA NA 0 1 0
#> 69 0 0 0 0 NA 0 NA NA 0 NA 0 NA 0 0 0 NA NA 0
#> 70 1 0 NA NA 1 1 1 NA NA 1 1 1 NA 0 0 0 0 NA
#> 71 NA 1 1 1 NA 1 1 NA 1 1 1 1 1 1 1 NA NA NA
#> 72 0 NA NA NA NA 0 0 NA 0 NA 0 0 NA 0 0 NA 0 0
#> 73 1 1 NA NA NA 1 1 0 1 NA 0 NA 0 NA 0 0 NA NA
#> 74 1 1 NA 1 1 NA NA 1 1 NA 1 NA 0 1 1 1 1 NA
#> 75 1 1 NA NA NA NA 1 NA 0 0 0 0 0 0 NA 0 0 1
#> 76 0 NA NA NA NA NA NA NA 0 NA 0 0 0 0 0 0 0 0
#> 77 NA 1 1 1 NA 0 0 0 1 1 NA 1 1 1 1 1 NA 0
#> 78 1 NA NA 0 NA 0 0 0 0 1 1 1 1 0 0 NA 0 NA
#> 79 0 NA 0 NA 1 1 0 NA 1 0 0 0 NA NA NA 1 NA 1
#> 80 NA NA 0 0 0 NA 0 0 0 1 NA NA 1 NA 0 0 0 NA
#> 81 1 NA NA NA 0 NA NA 1 1 1 NA 1 1 NA NA 1 NA 1
#> 82 0 1 NA 1 NA 1 1 NA 1 NA 0 NA NA 0 0 0 0 NA
#> 83 1 0 0 0 NA NA 0 NA NA 1 NA NA 1 0 0 0 0 0
#> 84 NA 0 0 NA NA NA NA NA NA 1 NA NA NA NA 1 1 1 NA
#> 85 0 1 NA 1 NA NA 1 NA 1 1 1 1 1 0 0 0 NA 1
#> 86 0 NA NA 1 1 NA 1 1 1 NA NA NA NA 0 0 NA NA 1
#> 87 1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1
#> 88 0 NA 0 0 0 NA 0 NA 0 NA 1 1 1 NA 0 NA 0 NA
#> 89 1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
#> 90 1 NA NA NA NA 1 1 NA 1 NA 1 1 1 0 NA 0 0 1
#> 91 NA NA 0 0 NA 1 NA NA 1 0 0 0 NA 0 0 0 1 0
#> 92 NA 1 NA 0 0 0 NA NA 0 NA 1 1 NA 1 1 1 NA NA
#> 93 1 1 1 1 1 1 1 NA NA NA NA 1 NA NA 1 1 1 NA
#> 94 NA 0 0 0 0 0 NA NA 0 NA NA NA 1 0 NA 0 0 1
#> 95 0 NA 1 1 1 1 1 NA NA 1 NA NA NA NA NA 1 1 NA
#> 96 1 1 NA NA NA 0 0 NA 0 0 0 0 0 1 1 1 1 1
#> 97 NA 0 0 1 1 0 1 0 0 0 1 1 NA 0 0 0 0 0
#> 98 0 0 0 0 0 NA 1 NA 0 0 0 0 0 0 NA 0 0 NA
#> 99 1 NA 1 NA 1 NA NA NA 0 NA 0 NA 0 0 NA 0 NA 1
#> 100 0 0 0 0 NA NA 1 NA 1 NA 0 NA 0 NA 1 1 0 0
#> 101 0 0 0 0 NA NA 0 0 0 0 NA NA 0 NA 1 NA 1 0
#> 102 1 1 NA NA 1 NA NA NA 0 1 1 1 NA 1 1 1 1 NA
#> 103 1 NA NA 0 NA NA NA 0 0 1 1 1 1 1 1 0 1 0
#> 104 0 NA 1 1 NA 1 1 NA 1 1 1 1 1 1 1 1 1 NA
#> 105 0 0 0 0 0 0 NA NA NA 1 1 1 1 1 1 NA NA 1
#> 106 0 NA 1 1 1 1 1 NA 1 1 1 NA 1 1 1 NA NA 1
#> EGF2 EGF3 EGF4 EGF5 EGF6 FL7B VSFGF7 F3A F3B VSFGFR3 F4 Q5 VSTOP1 VSTOP2A
#> 1 1 NA 1 1 1 NA 1 1 1 1 0 0 0 1
#> 2 1 1 1 NA NA 0 0 NA 1 1 0 0 0 0
#> 3 0 0 0 0 0 NA 0 0 0 0 NA 0 0 0
#> 4 NA NA 1 NA NA 1 1 1 NA 1 NA 0 0 0
#> 5 0 0 NA NA NA 0 0 0 0 0 NA 0 0 1
#> 6 1 1 NA NA NA 0 1 1 NA 1 0 0 0 0
#> 7 1 NA 1 1 1 1 1 NA NA NA 0 0 0 0
#> 8 NA 1 1 1 NA NA 1 NA 1 1 0 NA 0 1
#> 9 0 0 0 0 0 1 1 NA 1 1 NA 1 1 1
#> 10 1 NA 1 1 1 1 1 1 1 1 1 NA 1 1
#> 11 0 0 0 0 0 1 1 0 0 0 0 0 0 NA
#> 12 0 NA 0 NA NA 1 1 1 1 1 0 0 0 0
#> 13 1 NA NA NA NA 0 0 0 0 0 1 1 1 1
#> 14 1 NA 1 1 1 NA NA 1 1 1 NA NA 0 0
#> 15 0 NA 0 0 0 0 0 NA 1 1 1 NA 1 0
#> 16 1 1 1 0 0 1 1 1 1 1 0 0 0 0
#> 17 NA NA 0 0 0 0 0 0 0 0 0 NA 0 1
#> 18 NA 0 0 0 0 NA 1 0 0 0 0 0 0 1
#> 19 0 0 0 0 0 NA 1 NA NA NA 0 NA 0 0
#> 20 1 NA 1 1 1 0 0 0 0 0 NA 0 NA NA
#> 21 0 0 NA NA NA 1 1 1 1 1 NA 1 1 1
#> 22 NA 0 0 0 0 NA 0 NA 1 1 1 NA 1 NA
#> 23 0 0 NA 0 0 1 1 0 0 0 0 0 0 1
#> 24 1 1 1 1 1 0 0 1 1 1 1 NA 1 0
#> 25 NA 1 NA 1 1 1 1 NA NA NA NA 1 1 1
#> 26 NA NA NA NA NA NA 1 1 0 1 1 1 1 1
#> 27 0 0 NA NA NA NA NA 0 1 0 NA 0 0 1
#> 28 1 NA 1 NA NA 0 0 1 1 1 0 NA 0 1
#> 29 1 1 NA 1 1 NA 1 1 1 1 0 0 0 0
#> 30 1 1 NA 1 1 0 0 NA NA NA 0 NA 0 1
#> 31 1 1 0 NA NA NA 1 NA 0 0 0 0 0 0
#> 32 NA 0 0 0 0 NA 1 1 NA 1 1 1 1 1
#> 33 0 1 0 0 0 0 0 1 NA 1 NA NA 0 0
#> 34 1 1 1 1 1 NA 0 1 NA 1 0 0 0 1
#> 35 1 1 1 1 1 1 1 0 0 0 1 1 1 1
#> 36 0 NA NA 0 0 1 1 0 0 0 0 0 0 0
#> 37 1 NA 0 0 0 NA 1 1 NA 1 NA 0 0 0
#> 38 1 NA 0 1 0 0 0 1 1 1 0 0 0 1
#> 39 0 NA 0 NA NA NA 0 1 0 1 0 0 0 1
#> 40 0 0 0 0 0 1 1 1 1 1 0 0 0 1
#> 41 0 0 0 0 0 NA NA NA 0 0 0 NA 0 0
#> 42 0 NA 0 0 0 NA NA 1 1 1 NA 1 1 1
#> 43 1 1 1 NA NA NA 1 1 1 1 1 NA 1 1
#> 44 0 NA 0 0 0 1 1 1 1 1 0 0 0 0
#> 45 0 NA 0 0 0 NA 1 NA 1 1 0 0 0 1
#> 46 0 NA 0 0 0 0 0 1 1 1 0 0 0 0
#> 47 0 NA NA 0 0 NA 1 1 1 1 0 1 1 1
#> 48 0 0 0 NA NA 1 1 0 0 0 1 1 1 0
#> 49 NA 1 1 NA NA 1 1 1 1 1 1 1 1 1
#> 50 0 0 0 0 0 0 1 NA 1 1 NA 0 0 1
#> 51 NA 0 NA 0 NA 0 0 0 NA 0 0 NA 0 0
#> 52 0 NA 0 0 0 0 0 NA 0 0 0 NA 0 1
#> 53 1 1 1 1 1 NA NA 0 0 0 0 0 0 0
#> 54 0 0 0 NA NA 1 1 0 0 0 1 1 1 1
#> 55 0 0 0 NA NA 0 1 1 1 1 0 0 0 1
#> 56 NA 1 1 1 1 0 1 0 0 0 1 0 0 0
#> 57 1 NA 1 1 1 1 1 1 1 1 1 1 1 1
#> 58 1 NA 1 NA NA 0 1 1 1 1 0 0 0 1
#> 59 NA 1 1 NA NA 1 1 1 1 1 0 NA 0 1
#> 60 0 0 0 0 0 1 1 1 1 1 NA 0 0 0
#> 61 0 0 0 0 0 1 1 NA 1 1 0 NA 0 0
#> 62 1 1 1 NA NA 1 1 0 NA 0 0 0 0 1
#> 63 0 0 0 0 0 1 1 1 1 1 NA NA 0 1
#> 64 NA 1 1 NA NA 1 1 1 1 1 1 1 1 0
#> 65 0 0 0 0 0 NA NA 1 1 1 1 0 0 1
#> 66 1 0 0 NA NA 0 0 1 NA 1 NA 0 0 0
#> 67 NA 1 1 1 1 0 0 0 0 0 0 0 0 1
#> 68 1 NA 0 0 0 NA NA 0 0 0 0 0 0 0
#> 69 NA 0 0 0 0 0 1 NA 0 0 0 0 0 0
#> 70 0 NA 0 0 0 0 1 1 1 1 1 1 1 0
#> 71 1 NA 1 NA NA 1 1 0 NA 0 0 NA 0 0
#> 72 0 0 0 0 0 1 1 0 0 0 NA 0 0 1
#> 73 0 NA 1 1 1 1 1 0 NA 0 1 NA 1 0
#> 74 1 1 1 1 1 1 1 1 1 1 1 1 1 0
#> 75 1 1 1 1 1 1 1 NA NA NA 1 1 1 1
#> 76 NA 1 1 1 1 0 0 NA 0 0 0 0 0 0
#> 77 0 0 NA 0 0 1 1 0 NA 0 0 0 0 1
#> 78 0 0 0 0 0 0 0 NA 0 0 NA NA 1 0
#> 79 NA 1 1 1 1 0 0 1 1 1 0 0 0 0
#> 80 0 0 0 0 0 NA NA 0 NA 0 1 NA 1 0
#> 81 NA 1 1 1 1 NA NA NA 1 1 1 NA 1 NA
#> 82 NA 0 0 NA NA 1 1 NA 1 1 0 0 0 0
#> 83 NA 0 NA NA NA NA 0 0 NA 0 1 1 1 0
#> 84 NA 1 1 NA NA NA NA 1 1 1 1 1 1 0
#> 85 1 1 1 1 1 1 1 0 0 0 NA 1 1 0
#> 86 1 1 NA 0 1 1 1 1 1 1 NA 0 0 0
#> 87 0 0 0 0 0 1 1 1 1 1 1 1 1 1
#> 88 0 0 NA 0 0 1 1 1 1 1 NA 0 0 1
#> 89 1 1 1 1 1 1 1 0 NA 0 1 1 1 0
#> 90 NA 1 1 1 1 1 1 1 1 1 1 NA 1 0
#> 91 0 1 0 0 0 NA NA 0 0 0 1 0 0 0
#> 92 NA 1 1 1 1 1 1 1 1 1 1 NA 1 1
#> 93 1 1 1 1 1 1 1 1 0 1 1 1 1 1
#> 94 NA 1 1 1 1 1 1 1 1 1 1 1 1 1
#> 95 1 NA 1 1 1 NA 1 0 NA 0 NA NA 0 1
#> 96 1 NA 1 NA NA 1 1 1 NA 1 1 1 1 1
#> 97 0 0 0 0 0 1 1 1 NA 1 1 1 1 1
#> 98 0 1 1 1 1 0 0 0 0 0 0 0 0 1
#> 99 1 1 1 1 1 0 0 0 0 0 1 1 1 1
#> 100 0 0 0 NA NA 1 1 1 1 1 0 0 0 0
#> 101 0 NA 0 0 0 1 1 0 0 0 0 0 0 1
#> 102 0 0 0 0 0 1 1 NA 1 1 1 1 1 1
#> 103 0 0 0 NA NA 1 1 NA NA NA 1 1 1 0
#> 104 1 NA 1 1 1 0 0 NA 1 1 0 0 0 0
#> 105 0 NA 0 NA NA NA 1 NA 1 1 NA NA NA 1
#> 106 NA 1 1 NA NA NA 1 0 0 0 NA NA NA 0
#> VSEGFR AFRAEGFR SRXRA SMT QMTAMPN QMTDELN SHL SEA SEB QPCRFGF7
#> 1 1 1 1 0 0 0 0 1 1 0
#> 2 1 1 1 1 NA 1 1 0 1 1
#> 3 0 1 0 0 0 0 0 0 1 1
#> 4 1 1 0 0 0 0 0 0 0 0
#> 5 0 1 1 0 0 0 0 0 0 1
#> 6 1 1 1 1 NA 1 1 0 0 1
#> 7 1 1 1 1 1 NA 1 0 1 1
#> 8 1 0 1 1 1 NA 1 1 1 0
#> 9 0 1 1 1 NA 1 0 1 1 0
#> 10 1 1 1 0 0 0 0 1 0 1
#> 11 0 0 1 0 0 0 0 0 1 0
#> 12 0 1 1 0 0 0 0 0 1 0
#> 13 1 1 0 1 0 0 1 1 1 0
#> 14 1 1 1 1 0 0 1 1 1 0
#> 15 0 1 1 0 0 0 0 0 1 0
#> 16 1 0 1 1 1 NA 1 1 1 1
#> 17 0 1 1 0 0 0 0 0 0 1
#> 18 0 1 1 1 0 0 0 1 0 0
#> 19 0 1 0 0 0 0 0 NA 0 0
#> 20 1 1 0 1 1 NA 1 1 1 1
#> 21 0 1 1 0 0 0 0 0 0 0
#> 22 0 1 1 0 1 NA 0 0 0 1
#> 23 0 1 0 0 0 0 0 0 0 1
#> 24 1 1 0 1 1 NA 1 0 0 1
#> 25 1 1 1 1 0 0 1 1 1 0
#> 26 NA 0 1 0 0 0 0 1 1 0
#> 27 0 1 1 0 0 0 0 0 1 0
#> 28 1 1 0 1 0 0 1 0 1 1
#> 29 1 1 1 1 NA 1 1 1 1 1
#> 30 1 1 1 1 1 NA 1 1 1 1
#> 31 1 1 NA 1 0 0 0 1 1 1
#> 32 0 1 1 0 0 0 0 1 1 1
#> 33 1 1 1 1 0 0 1 1 1 0
#> 34 1 1 1 1 1 NA 1 1 1 0
#> 35 1 0 1 1 1 NA 1 0 0 1
#> 36 0 1 0 0 0 0 0 1 1 1
#> 37 1 1 1 0 0 0 1 0 0 0
#> 38 0 0 NA 1 0 0 1 0 0 1
#> 39 0 1 1 1 0 0 0 1 0 1
#> 40 0 1 1 1 0 0 0 0 0 0
#> 41 0 1 1 0 0 0 0 0 0 0
#> 42 0 1 1 0 0 0 1 1 0 1
#> 43 1 1 1 1 NA 1 1 1 1 0
#> 44 0 1 1 0 0 0 0 0 0 1
#> 45 0 0 1 0 0 0 0 1 1 0
#> 46 0 0 0 1 0 0 1 0 0 0
#> 47 0 1 1 0 0 0 0 1 0 0
#> 48 0 1 1 0 1 NA 0 1 1 1
#> 49 1 1 1 1 1 NA 0 1 1 1
#> 50 0 1 0 1 0 0 0 1 1 1
#> 51 0 1 1 0 0 0 0 1 1 0
#> 52 0 0 1 0 0 0 0 1 1 1
#> 53 1 NA NA 1 1 NA 1 0 1 1
#> 54 0 1 1 1 0 0 1 1 NA 1
#> 55 0 NA NA 1 1 NA 0 1 1 0
#> 56 1 1 1 1 NA 1 1 0 0 1
#> 57 1 0 1 1 1 NA 0 1 1 2
#> 58 1 1 1 0 0 0 0 1 0 1
#> 59 1 1 1 0 0 0 0 0 1 1
#> 60 0 1 0 0 0 0 0 0 1 1
#> 61 1 1 1 0 0 0 0 1 0 1
#> 62 1 1 1 1 1 NA 1 1 1 0
#> 63 0 1 1 1 0 0 1 NA 1 1
#> 64 1 1 1 0 0 0 0 0 1 0
#> 65 0 1 1 0 0 0 0 1 0 1
#> 66 0 1 0 1 NA 1 1 0 0 0
#> 67 1 1 0 1 NA 1 1 0 1 0
#> 68 0 1 0 0 0 0 0 1 0 1
#> 69 0 1 0 0 0 0 0 0 0 1
#> 70 0 1 1 1 1 NA 1 1 0 1
#> 71 1 1 0 1 1 NA 1 1 1 1
#> 72 0 0 1 NA 0 0 0 0 0 0
#> 73 1 0 0 1 0 0 0 0 0 1
#> 74 1 1 1 1 0 0 NA 1 1 1
#> 75 1 1 0 1 0 0 1 0 0 1
#> 76 1 1 1 NA 0 0 0 0 0 1
#> 77 0 1 1 1 1 NA 0 1 1 NA
#> 78 0 1 0 0 0 0 0 1 0 NA
#> 79 1 1 0 0 0 0 1 0 1 1
#> 80 0 1 0 0 0 0 0 1 0 1
#> 81 1 1 1 0 0 0 1 1 1 0
#> 82 0 1 1 1 0 0 1 0 0 0
#> 83 0 0 0 0 0 0 0 1 0 1
#> 84 1 1 NA 0 0 0 NA 1 1 0
#> 85 1 1 0 1 0 0 1 1 0 1
#> 86 1 1 1 1 0 0 1 NA 0 1
#> 87 0 NA NA 1 1 NA 0 0 1 0
#> 88 0 1 1 0 0 0 0 1 0 1
#> 89 1 NA NA 1 0 0 1 1 1 0
#> 90 1 1 0 NA 0 0 1 1 0 0
#> 91 1 1 0 0 0 0 1 0 0 0
#> 92 1 0 1 0 0 0 0 1 1 1
#> 93 1 1 0 1 1 NA 1 1 1 0
#> 94 1 1 1 0 0 0 0 1 0 0
#> 95 1 1 1 1 0 0 1 1 1 0
#> 96 1 1 1 1 NA 1 0 0 1 1
#> 97 0 1 1 1 1 NA 1 1 0 1
#> 98 1 1 1 0 0 0 1 0 0 NA
#> 99 1 1 1 1 0 0 0 0 0 0
#> 100 0 1 1 0 0 0 1 0 1 1
#> 101 0 1 1 0 0 0 0 0 1 1
#> 102 0 0 0 1 0 0 0 1 1 1
#> 103 0 0 1 0 0 0 0 1 1 1
#> 104 1 1 1 1 0 0 1 1 1 1
#> 105 0 1 1 0 0 0 0 1 1 1
#> 106 1 1 0 1 1 NA 1 1 1 NA
summary(TxTum)
#> CELTUMCO age sexe HISTOADK
#> Min. :20.00 Min. :41.00 Min. :0.0000 Min. :0.0000
#> 1st Qu.:30.00 1st Qu.:52.00 1st Qu.:1.0000 1st Qu.:1.0000
#> Median :50.00 Median :62.00 Median :1.0000 Median :1.0000
#> Mean :50.17 Mean :61.26 Mean :0.7925 Mean :0.7609
#> 3rd Qu.:68.75 3rd Qu.:69.00 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :99.00 Max. :80.00 Max. :1.0000 Max. :1.0000
#> NA's :14
#> H2 P3 P4 E1
#> Min. :0.0000 Min. :0.000 Min. :0.000 Min. :0.00
#> 1st Qu.:1.0000 1st Qu.:0.500 1st Qu.:0.000 1st Qu.:0.75
#> Median :1.0000 Median :1.000 Median :1.000 Median :1.00
#> Mean :0.7568 Mean :0.747 Mean :0.725 Mean :0.75
#> 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.00
#> Max. :1.0000 Max. :1.000 Max. :1.000 Max. :1.00
#> NA's :32 NA's :23 NA's :26 NA's :22
#> P5 R10 C3M P6
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :0.0000 Median :1.0000 Median :1.0000 Median :1.0000
#> Mean :0.4557 Mean :0.7625 Mean :0.7246 Mean :0.6593
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :27 NA's :26 NA's :37 NA's :15
#> RB FL7A P53 W2
#> Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
#> 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:0.0000
#> Median :1.0000 Median :1.0000 Median :1.000 Median :1.0000
#> Mean :0.7614 Mean :0.6364 Mean :0.837 Mean :0.5333
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
#> NA's :18 NA's :29 NA's :14 NA's :31
#> P2 P1 W4 MT1
#> Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :0.0000 Median :0.000 Median :0.0000 Median :1.0000
#> Mean :0.4945 Mean :0.407 Mean :0.3333 Mean :0.5231
#> 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.0000
#> NA's :15 NA's :20 NA's :34 NA's :41
#> MT2 MT4 MT3 HLA HLD
#> Min. :0.0 Min. :0.00 Min. :0.00 Min. :0.0000 Min. :0.000
#> 1st Qu.:0.0 1st Qu.:0.00 1st Qu.:0.00 1st Qu.:0.0000 1st Qu.:0.000
#> Median :0.5 Median :0.00 Median :0.00 Median :0.0000 Median :1.000
#> Mean :0.5 Mean :0.48 Mean :0.48 Mean :0.4559 Mean :0.507
#> 3rd Qu.:1.0 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:1.0000 3rd Qu.:1.000
#> Max. :1.0 Max. :1.00 Max. :1.00 Max. :1.0000 Max. :1.000
#> NA's :42 NA's :31 NA's :56 NA's :38 NA's :35
#> HLC HLB EA1 EA3
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :0.0000 Median :0.0000 Median :1.0000 Median :0.0000
#> Mean :0.4242 Mean :0.4744 Mean :0.6102 Mean :0.4857
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :73 NA's :28 NA's :47 NA's :36
#> EA2 EA4 EB1 EB2
#> Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :1.0000 Median :1.000 Median :0.0000 Median :1.0000
#> Mean :0.5753 Mean :0.597 Mean :0.4286 Mean :0.5211
#> 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.0000
#> NA's :33 NA's :39 NA's :36 NA's :35
#> EB3 EB4 EGF1 EGF2
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :1.0000 Median :1.0000 Median :1.0000 Median :0.0000
#> Mean :0.5405 Mean :0.5429 Mean :0.5333 Mean :0.4444
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :32 NA's :36 NA's :46 NA's :25
#> EGF3 EGF4 EGF5 EGF6
#> Min. :0.0000 Min. :0.0000 Min. :0.00 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.:0.0000
#> Median :1.0000 Median :0.0000 Median :0.00 Median :0.0000
#> Mean :0.5068 Mean :0.4831 Mean :0.44 Mean :0.4384
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.00 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.00 Max. :1.0000
#> NA's :33 NA's :17 NA's :31 NA's :33
#> FL7B VSFGF7 F3A F3B
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
#> Mean :0.6133 Mean :0.7158 Mean :0.5926 Mean :0.6098
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :31 NA's :11 NA's :25 NA's :24
#> VSFGFR3 F4 Q5 VSTOP1
#> Min. :0.00 Min. :0.000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :1.00 Median :0.000 Median :0.0000 Median :0.0000
#> Mean :0.61 Mean :0.439 Mean :0.3718 Mean :0.3883
#> 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.00 Max. :1.000 Max. :1.0000 Max. :1.0000
#> NA's :6 NA's :24 NA's :28 NA's :3
#> VSTOP2A VSEGFR AFRAEGFR SRXRA
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000
#> Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
#> Mean :0.5196 Mean :0.5143 Mean :0.8431 Mean :0.7071
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :4 NA's :1 NA's :4 NA's :7
#> SMT QMTAMPN QMTDELN SHL
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :1.0000 Median :0.0000 Median :0.0000 Median :0.0000
#> Mean :0.5243 Mean :0.2268 Mean :0.1071 Mean :0.4423
#> 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> NA's :3 NA's :9 NA's :22 NA's :2
#> SEA SEB QPCRFGF7
#> Min. :0.0000 Min. :0.0000 Min. :0.000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
#> Median :1.0000 Median :1.0000 Median :1.000
#> Mean :0.5728 Mean :0.5619 Mean :0.598
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000
#> Max. :1.0000 Max. :1.0000 Max. :2.000
#> NA's :3 NA's :1 NA's :4