Titanic.Data <- read.csv("E:/Documents/internship-R/Titanic Data.csv")
library(psych)
## Warning: package 'psych' was built under R version 3.4.3
describe(Titanic.Data)
## vars n mean sd median trimmed mad min max range
## Survived 1 889 0.38 0.49 0.00 0.35 0.00 0.0 1.00 1.00
## Pclass 2 889 2.31 0.83 3.00 2.39 0.00 1.0 3.00 2.00
## Sex* 3 889 1.65 0.48 2.00 1.69 0.00 1.0 2.00 1.00
## Age 4 889 29.65 12.97 29.70 29.22 9.34 0.4 80.00 79.60
## SibSp 5 889 0.52 1.10 0.00 0.27 0.00 0.0 8.00 8.00
## Parch 6 889 0.38 0.81 0.00 0.19 0.00 0.0 6.00 6.00
## Fare 7 889 32.10 49.70 14.45 21.28 10.24 0.0 512.33 512.33
## Embarked* 8 889 2.54 0.79 3.00 2.67 0.00 1.0 3.00 2.00
## skew kurtosis se
## Survived 0.48 -1.77 0.02
## Pclass -0.63 -1.27 0.03
## Sex* -0.62 -1.61 0.02
## Age 0.43 0.96 0.43
## SibSp 3.68 17.69 0.04
## Parch 2.74 9.66 0.03
## Fare 4.79 33.23 1.67
## Embarked* -1.26 -0.23 0.03
View(Titanic.Data)
summary(Titanic.Data)
## Survived Pclass Sex Age
## Min. :0.0000 Min. :1.000 female:312 Min. : 0.40
## 1st Qu.:0.0000 1st Qu.:2.000 male :577 1st Qu.:22.00
## Median :0.0000 Median :3.000 Median :29.70
## Mean :0.3825 Mean :2.312 Mean :29.65
## 3rd Qu.:1.0000 3rd Qu.:3.000 3rd Qu.:35.00
## Max. :1.0000 Max. :3.000 Max. :80.00
## SibSp Parch Fare Embarked
## Min. :0.0000 Min. :0.0000 Min. : 0.000 C:168
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: 7.896 Q: 77
## Median :0.0000 Median :0.0000 Median : 14.454 S:644
## Mean :0.5242 Mean :0.3825 Mean : 32.097
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.: 31.000
## Max. :8.0000 Max. :6.0000 Max. :512.329
mytable <-with(Titanic.Data, table(Survived))
mytable
## Survived
## 0 1
## 549 340
prop.table(mytable)
## Survived
## 0 1
## 0.6175478 0.3824522
prop.table(mytable)*100
## Survived
## 0 1
## 61.75478 38.24522
mytable <- xtabs(~Survived+Pclass, data=Titanic.Data)
mytable
## Pclass
## Survived 1 2 3
## 0 80 97 372
## 1 134 87 119
prop.table(mytable)
## Pclass
## Survived 1 2 3
## 0 0.08998875 0.10911136 0.41844769
## 1 0.15073116 0.09786277 0.13385827
prop.table(mytable)*100
## Pclass
## Survived 1 2 3
## 0 8.998875 10.911136 41.844769
## 1 15.073116 9.786277 13.385827
mytable <- xtabs(~Survived+Pclass+Sex, data=Titanic.Data)
mytable
## , , Sex = female
##
## Pclass
## Survived 1 2 3
## 0 3 6 72
## 1 89 70 72
##
## , , Sex = male
##
## Pclass
## Survived 1 2 3
## 0 77 91 300
## 1 45 17 47
mytable <- xtabs(~Survived+Sex, data=Titanic.Data)
mytable
## Sex
## Survived female male
## 0 81 468
## 1 231 109
prop.table(mytable)
## Sex
## Survived female male
## 0 0.09111361 0.52643420
## 1 0.25984252 0.12260967
mytable <- xtabs(~Survived+Sex, data=Titanic.Data)
addmargins(mytable)
## Sex
## Survived female male Sum
## 0 81 468 549
## 1 231 109 340
## Sum 312 577 889
chisq.test(mytable)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: mytable
## X-squared = 258.43, df = 1, p-value < 2.2e-16