telo.control <- c(0.95, 0.96, 1.07, 1.08, 1.09,
1.1, 1.12, 1.14, 1.18, 1.19,
1.19, 1.2, 1.34, 1.45, 1.49,
1.55)
telo.disturbed <- c(0.83, 0.84, 0.87, 0.93, 0.94,
0.96, 0.99, 1.00, 1.01, 1.01,
1.02, 1.05, 1.07, 1.08, 1.09,
1.09, 1.12, 1.13, 1.16, 1.24,
1.41)
cort.control <-c(6.32, 1.56, 8.61, 4.86, 3.32,
4.31, 1.84, 10.45, 1.47, 4.57,
1.95, 5.93, 8.89, 1.16, NA,
NA)
cort.disturbed <- c(7.38, 5.39, 5.39, 5.73, 18.35,
0.95, 1.72, 7.26, 1.38, 4.22,
7.52, 12.52, 3.86, 3.12, 1.36,
2.26, 0.85, 4.76, 0.95, 6.92,
2.16)
sex.cntrl <- c("F","M","F","F","F","F","F","M","F","F","M","F","M","M",
"F","F")
sex.dist <- c("M", "M", "F", "F", "F", "M", "F", "M", "F", "M", "F",
"F", "M", "F", "M", "M", "F", "M", "F", "M", "M")
# what type of data, what type of data structure
is(telo.control)
## [1] "numeric" "vector"
is.vector(telo.control)
## [1] TRUE
hist(telo.disturbed)
## R as a calculator
mean(telo.disturbed)
## [1] 1.04
median(telo.control)
## [1] 1.16
max(telo.control)
## [1] 1.55
min(telo.disturbed)
## [1] 0.83
summary(telo.disturbed)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.83 0.96 1.02 1.04 1.09 1.41
hist(telo.control)
boxplot(telo.control)
The c() operator concatonates vectors (adds two vectors)
telomeres <- c(telo.control, telo.disturbed)
length(telo.control)
## [1] 16
length(telo.disturbed)
## [1] 21
length(telo.control)+length(telo.disturbed)
## [1] 37
length(telomeres)
## [1] 37
is(telomeres)
## [1] "numeric" "vector"
is.vector(telomeres)
## [1] TRUE
is.data.frame(telomeres)
## [1] FALSE
ls()
## [1] "cort.control" "cort.disturbed" "sex.cntrl" "sex.dist"
## [5] "telo.control" "telo.disturbed" "telomeres"
sex.cntrl
## [1] "F" "M" "F" "F" "F" "F" "F" "M" "F" "F" "M" "F" "M" "M" "F" "F"
sex.dist
## [1] "M" "M" "F" "F" "F" "M" "F" "M" "F" "M" "F" "F" "M" "F" "M" "M" "F" "M" "F"
## [20] "M" "M"
is(sex.cntrl)
## [1] "character" "vector" "data.frameRowLabels"
## [4] "SuperClassMethod"
sex <- c(sex.cntrl, sex.dist)
sex
## [1] "F" "M" "F" "F" "F" "F" "F" "M" "F" "F" "M" "F" "M" "M" "F" "F" "M" "M" "F"
## [20] "F" "F" "M" "F" "M" "F" "M" "F" "F" "M" "F" "M" "M" "F" "M" "F" "M" "M"
length(telomeres)
## [1] 37
length(sex)
## [1] 37
length(telomeres)==length(sex)
## [1] TRUE
telomeres
## [1] 0.95 0.96 1.07 1.08 1.09 1.10 1.12 1.14 1.18 1.19 1.19 1.20 1.34 1.45 1.49
## [16] 1.55 0.83 0.84 0.87 0.93 0.94 0.96 0.99 1.00 1.01 1.01 1.02 1.05 1.07 1.08
## [31] 1.09 1.09 1.12 1.13 1.16 1.24 1.41
sex
## [1] "F" "M" "F" "F" "F" "F" "F" "M" "F" "F" "M" "F" "M" "M" "F" "F" "M" "M" "F"
## [20] "F" "F" "M" "F" "M" "F" "M" "F" "F" "M" "F" "M" "M" "F" "M" "F" "M" "M"
df <- data.frame(telomeres, #telomere data vector
sex) #sex (male/female) vector
is(df)
## [1] "data.frame" "list" "oldClass" "vector"
is.data.frame(df)
## [1] TRUE
dim(df) #dimensions of dataframe and matrices (can't call it on vectors)
## [1] 37 2
#dim(telomeres) this is not possible
head(df) #shows top 6 rows of data table
## telomeres sex
## 1 0.95 F
## 2 0.96 M
## 3 1.07 F
## 4 1.08 F
## 5 1.09 F
## 6 1.10 F
tail(df) ##shows bottom 6 rows of data table
## telomeres sex
## 32 1.09 M
## 33 1.12 F
## 34 1.13 M
## 35 1.16 F
## 36 1.24 M
## 37 1.41 M
# y variable~x variable, data=data table
boxplot(telomeres~sex,data = df)
trt.c <- rep("C", 16)
trt.d <- rep("D", 21)
trt.c
## [1] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
trt.d
## [1] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
## [20] "D" "D"