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# using character indices | ||
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person <- c("January", "Weiner", 134) | ||
names(person) <- c("FirstName", "LastName", "Age") | ||
person[1] | ||
person["FirstName"] | ||
person["Age"] | ||
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# converting to numbers | ||
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person <- c(10, 20, "30") | ||
person | ||
person * 10 | ||
person <- as.numeric(person) | ||
person | ||
person * 10 | ||
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person <- c("January", "Weiner", 134) | ||
as.numeric(person) | ||
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measurement <- c(10, 20, "> 40", "N.d") | ||
as.numeric(measurement) | ||
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## NULL value | ||
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mynull <- NULL | ||
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## logical vectors | ||
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sel <- c(TRUE, FALSE, FALSE, TRUE, TRUE) | ||
sum(sel) | ||
!sel | ||
sum(!sel) | ||
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samples <- c(1, 1, 2, 5, 7) | ||
samples >= 2 | ||
sum(samples >= 2) | ||
sel <- which(samples >= 2) | ||
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# this will return the same result as sum(samples >= 2) | ||
length(sel) | ||
samples[sel] | ||
samples[sel] <- 2 | ||
samples | ||
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persons <- c("Aphrodite", "Bacchus", "Circe", "Demeter", "Eurypides") | ||
sel <- c(TRUE, TRUE, TRUE, TRUE, FALSE) | ||
persons[sel] | ||
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# Exercise 2.1 | ||
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samples <- c(1, 10, NA, 15) | ||
mean(samples) | ||
NA + 5 | ||
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mean(samples, na.rm = TRUE) | ||
?mean | ||
which(is.na(samples)) | ||
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samples <- c(1, 10, NA, 15, NA) | ||
which(is.na(samples)) | ||
sel <- !is.na(samples) | ||
samples[ sel ] | ||
samples[ !is.na(samples) ] | ||
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areas <- c(0.1, 0.2, 0.4, 0.8, 1.6, 3.2) | ||
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# the following are equivalent | ||
areas[ which(areas > 1)] | ||
areas[ areas > 1 ] | ||
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# logical operations on logical vectors | ||
a <- c(1, 2, 3) | ||
b <- c(5, 6, 7) | ||
a + b | ||
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a <- areas > 1 | ||
b <- areas < 0.3 | ||
a | b | ||
a & b | ||
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## rep and paste | ||
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rep(c("A", "B"), 5) | ||
repvec <- rep(c("A", "B"), 5) | ||
length(repvec) | ||
rep(c("A", "B"), each=5) | ||
length(rep(c("A", "B"), each=5)) | ||
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paste("A", "B", "C") | ||
length(paste("A", "B", "C")) | ||
paste0("A", "B", "C") | ||
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a <- c("A", "B", "C") | ||
b <- c("1", "2", "3") | ||
paste0(a, b) | ||
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# exercise 2.1b | ||
a <- rep(c("A", "B", "C"), each = 3) | ||
b <- rep(1:3, 3) | ||
ab <- paste0(a, b) | ||
rep(ab, each = 3) | ||
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# matrices | ||
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m <- matrix(1:18, ncol=3, nrow=6) | ||
m <- matrix(0, ncol=3, nrow=6) | ||
View(m) | ||
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# compare with | ||
m <- matrix(1:18, ncol=3, nrow=6, byrow=TRUE) | ||
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# dimensions of the matrix; rows first, then columns | ||
dim(m) | ||
ncol(m) | ||
nrow(m) | ||
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# all values in the first row | ||
m[ 1, ] | ||
m[1,] | ||
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# all values in the second column | ||
m[ , 2] | ||
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# select more than one column | ||
m[ , 1:2] | ||
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# same as simply m | ||
m[ , ] | ||
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m[ 2, 3 ] <- 42 | ||
m[ 1, ] <- pi | ||
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# this converts the whole matrix to character values | ||
m[ 2, 3 ] <- "FORTY two" | ||
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# this actually converts the matrix to a one dimensional vector | ||
as.numeric(m) | ||
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# row and column names | ||
m <- matrix(1:18, ncol=3, nrow=6, byrow=TRUE) | ||
colnames(m) <- c("foo", "bar", "baz") | ||
m[ , "foo" ] | ||
m[ , 1 ] | ||
nrow(m) | ||
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letters | ||
LETTERS | ||
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rownames(m) <- letters[1:6] | ||
m[ "a", ] | ||
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m[ 1, ] | ||
m[ "a", "foo" ] | ||
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paste0(rep(letters, each = 26), rep(letters, 26)) | ||
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rownames(m) <- 2:7 | ||
m[2, ] | ||
m["2", ] | ||
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# use a prefix | ||
rownames(m) <- paste0("ID", 2:7) | ||
m[2, ] | ||
m["ID2", ] | ||
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areas | ||
aeas | ||
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# out of bonds | ||
m[ , 54 ] |