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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
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Note that the echo = FALSE
parameter was added to the code chunk to prevent printing of the R code that generated the plot. #Week2 Assignment Solution library(tidyverse) getwd() # set working directory setwd (“D:/1DSRJeffereyNiemanGH/RJefferyNiemanWeek2”) getwd()
mydata = read_csv (“datasets.csv”)
summary(mydata) str(mydata) mydata D <- mydata
str(D)
D %>% summarise((mean(Rows))) D %>% summarise ((mean(Cols))) D %>% summarise ((median(Rows))) D %>% summarise ((median(Cols)))
dfgh <- data.frame(D) dfgh
dfNew <- dfgh %>% select (RowsNew = Rows, ColsNew = Cols,Package) dfNew
dfNew2 <- dfNew %>% filter (RowsNew >= 1600)
head(dfNew2)
summary (dfNew2) str(dfNew2)
dfNew2
dfNew2 %>% summarise(mean(RowsNew)) dfNew2 %>% summarise((mean(ColsNew))) dfNew2 %>% summarise((median(RowsNew))) dfNew2 %>% summarise((median(ColsNew)))
dfNew2$ Package [dfNew2$Package== ‘DAAG’] <-‘DAAGPack’ dfNew2$ Package [dfNew2$Package== ‘boot’] <-‘bootPack’ dfNew2$ Package [dfNew2$Package== ‘Ecdat’] <-‘EcdatPack’ rbind (head(dfNew2), tail(dfNew2)) dfNew2