head(letters)[1] "a" "b" "c" "d" "e" "f"train <- read.csv("~/Downloads/train.csv")day 2
head(train) PassengerId Survived Pclass
1 1 0 3
2 2 1 1
3 3 1 3
4 4 1 1
5 5 0 3
6 6 0 3
Name Sex Age SibSp Parch
1 Braund, Mr. Owen Harris male 22 1 0
2 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38 1 0
3 Heikkinen, Miss. Laina female 26 0 0
4 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35 1 0
5 Allen, Mr. William Henry male 35 0 0
6 Moran, Mr. James male NA 0 0
Ticket Fare Cabin Embarked
1 A/5 21171 7.2500 S
2 PC 17599 71.2833 C85 C
3 STON/O2. 3101282 7.9250 S
4 113803 53.1000 C123 S
5 373450 8.0500 S
6 330877 8.4583 Q?head
tail(train) PassengerId Survived Pclass Name Sex
886 886 0 3 Rice, Mrs. William (Margaret Norton) female
887 887 0 2 Montvila, Rev. Juozas male
888 888 1 1 Graham, Miss. Margaret Edith female
889 889 0 3 Johnston, Miss. Catherine Helen "Carrie" female
890 890 1 1 Behr, Mr. Karl Howell male
891 891 0 3 Dooley, Mr. Patrick male
Age SibSp Parch Ticket Fare Cabin Embarked
886 39 0 5 382652 29.125 Q
887 27 0 0 211536 13.000 S
888 19 0 0 112053 30.000 B42 S
889 NA 1 2 W./C. 6607 23.450 S
890 26 0 0 111369 30.000 C148 C
891 32 0 0 370376 7.750 Qtrain[500:515,] PassengerId Survived Pclass Name
500 500 0 3 Svensson, Mr. Olof
501 501 0 3 Calic, Mr. Petar
502 502 0 3 Canavan, Miss. Mary
503 503 0 3 O'Sullivan, Miss. Bridget Mary
504 504 0 3 Laitinen, Miss. Kristina Sofia
505 505 1 1 Maioni, Miss. Roberta
506 506 0 1 Penasco y Castellana, Mr. Victor de Satode
507 507 1 2 Quick, Mrs. Frederick Charles (Jane Richards)
508 508 1 1 Bradley, Mr. George ("George Arthur Brayton")
509 509 0 3 Olsen, Mr. Henry Margido
510 510 1 3 Lang, Mr. Fang
511 511 1 3 Daly, Mr. Eugene Patrick
512 512 0 3 Webber, Mr. James
513 513 1 1 McGough, Mr. James Robert
514 514 1 1 Rothschild, Mrs. Martin (Elizabeth L. Barrett)
515 515 0 3 Coleff, Mr. Satio
Sex Age SibSp Parch Ticket Fare Cabin Embarked
500 male 24 0 0 350035 7.7958 S
501 male 17 0 0 315086 8.6625 S
502 female 21 0 0 364846 7.7500 Q
503 female NA 0 0 330909 7.6292 Q
504 female 37 0 0 4135 9.5875 S
505 female 16 0 0 110152 86.5000 B79 S
506 male 18 1 0 PC 17758 108.9000 C65 C
507 female 33 0 2 26360 26.0000 S
508 male NA 0 0 111427 26.5500 S
509 male 28 0 0 C 4001 22.5250 S
510 male 26 0 0 1601 56.4958 S
511 male 29 0 0 382651 7.7500 Q
512 male NA 0 0 SOTON/OQ 3101316 8.0500 S
513 male 36 0 0 PC 17473 26.2875 E25 S
514 female 54 1 0 PC 17603 59.4000 C
515 male 24 0 0 349209 7.4958 Strain[490:495, 1:2] PassengerId Survived
490 490 1
491 491 0
492 492 0
493 493 0
494 494 0
495 495 0train[490:495, c(1,5)] PassengerId Sex
490 490 male
491 491 male
492 492 male
493 493 male
494 494 male
495 495 maletrain[c(490,495), c(1,5)] PassengerId Sex
490 490 male
495 495 male?str()
str(train)'data.frame': 891 obs. of 12 variables:
$ PassengerId: int 1 2 3 4 5 6 7 8 9 10 ...
$ Survived : int 0 1 1 1 0 0 0 0 1 1 ...
$ Pclass : int 3 1 3 1 3 3 1 3 3 2 ...
$ Name : chr "Braund, Mr. Owen Harris" "Cumings, Mrs. John Bradley (Florence Briggs Thayer)" "Heikkinen, Miss. Laina" "Futrelle, Mrs. Jacques Heath (Lily May Peel)" ...
$ Sex : chr "male" "female" "female" "female" ...
$ Age : num 22 38 26 35 35 NA 54 2 27 14 ...
$ SibSp : int 1 1 0 1 0 0 0 3 0 1 ...
$ Parch : int 0 0 0 0 0 0 0 1 2 0 ...
$ Ticket : chr "A/5 21171" "PC 17599" "STON/O2. 3101282" "113803" ...
$ Fare : num 7.25 71.28 7.92 53.1 8.05 ...
$ Cabin : chr "" "C85" "" "C123" ...
$ Embarked : chr "S" "C" "S" "S" ...#install.packages("visdat")
library(visdat)
vis_dat(train)
library(stargazer)
Please cite as: Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables. R package version 5.2.3. https://CRAN.R-project.org/package=stargazer stargazer(train, type = "text")
==============================================
Statistic N Mean St. Dev. Min Max
----------------------------------------------
PassengerId 891 446.000 257.354 1 891
Survived 891 0.384 0.487 0 1
Pclass 891 2.309 0.836 1 3
Age 714 29.699 14.526 0.420 80.000
SibSp 891 0.523 1.103 0 8
Parch 891 0.382 0.806 0 6
Fare 891 32.204 49.693 0.000 512.329
----------------------------------------------#library(psych)
#psych::describe(train)