#install.packages("pastecs")
library(tidyverse)
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## v tibble 3.0.3 v dplyr 1.0.2
## v tidyr 1.1.2 v stringr 1.4.0
## v readr 1.4.0 v forcats 0.5.0
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library(mosaic)
## Warning: package 'mosaic' was built under R version 4.0.2
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## method from
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library(infer)
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library(pastecs)
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## extract
getwd()
## [1] "C:/Users/Jerome/Documents/From_Toshiba_HD_Work_Files/0000_Montgomery_College/Math_217/Final_Project/Working_Folder"
family_z32 <- read_csv("family_z31.csv")
## Warning: Missing column names filled in: 'X1' [1]
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## -- Column specification --------------------------------------------------------------------------------------------------
## cols(
## .default = col_double()
## )
## i Use `spec()` for the full column specifications.
save(family_z32, file = "family_z32.Rmd")
### Try Pastecs
stat.desc(family_z32$FM_SIZE, basic = TRUE, norm = TRUE)
## nbr.val nbr.null nbr.na min max range
## 3.300000e+02 0.000000e+00 3.252400e+04 1.000000e+00 1.000000e+01 9.000000e+00
## sum median mean SE.mean CI.mean.0.95 var
## 9.670000e+02 3.000000e+00 2.930303e+00 9.030548e-02 1.776490e-01 2.691176e+00
## std.dev coef.var skewness skew.2SE kurtosis kurt.2SE
## 1.640480e+00 5.598330e-01 8.897302e-01 3.314140e+00 7.901908e-01 1.476042e+00
## normtest.W normtest.p
## 9.000614e-01 6.253583e-14
summary(family_z32$FM_SIZE)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.00 2.00 3.00 2.93 4.00 10.00 32524
#install.packages("Hmisc")
library(Hmisc)
## Warning: package 'Hmisc' was built under R version 4.0.3
## Loading required package: survival
## Loading required package: Formula
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## format.pval, units
family_sample1 <- sample_n(family_z32, 200)
write.csv (family_sample1, file = "family_sample1.csv", row.names = FALSE)
family_sample1 <- read_csv("family_sample1.csv")
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## .default = col_logical(),
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