dependon

#```{r setup, include=FALSE}
#knitr::opts_chunk$set(echo = TRUE,cache = TRUE,cache.path="/home/max/Documents/R_for_data_science/cache/")
#```

#```{r read.data,cache.extra = file.info("test_data.csv")}
#library(tidyverse)
#d<-read_csv("test_data.csv")
#```

#```{r lm, dependson="read.data"}
#md<-lm(data = d,V1~V2+V3+V4)
#summary(md)
#```

library(tidyverse)

## Warning: replacing previous import by 'tidyr::%>%' when loading 'broom'

## Warning: replacing previous import by 'tidyr::gather' when loading 'broom'

## Warning: replacing previous import by 'tidyr::spread' when loading 'broom'

## ── Attaching packages ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──

## ✔ ggplot2 2.2.1     ✔ purrr   0.2.4
## ✔ tibble  1.4.1     ✔ dplyr   0.7.4
## ✔ tidyr   0.8.0     ✔ stringr 1.2.0
## ✔ readr   1.1.1     ✔ forcats 0.3.0

## ── Conflicts ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()

d<-read_csv("test_data.csv")

## Warning: Missing column names filled in: 'X1' [1]

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   X1 = col_integer()
## )

## See spec(...) for full column specifications.

md<-lm(data = d,V1~V2+V3+V4)
summary(md)

## 
## Call:
## lm(formula = V1 ~ V2 + V3 + V4, data = d)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.6355 -0.6657  0.0027  0.6849  3.4474 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.012142   0.009967  -1.218    0.223
## V2          -0.012741   0.009890  -1.288    0.198
## V3           0.008352   0.010062   0.830    0.407
## V4          -0.013880   0.010081  -1.377    0.169
## 
## Residual standard error: 0.9966 on 9996 degrees of freedom
## Multiple R-squared:  0.0004294,  Adjusted R-squared:  0.0001294 
## F-statistic: 1.431 on 3 and 9996 DF,  p-value: 0.2315