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Sample usages from package functions

exampleDataR

# sample data
library(Rinvent)
head(exampleDataR)
#>   location   item       date sales
#> 1 istanbul coffee 10/29/1923    27
#> 2 istanbul coffee 10/30/1923    31
#> 3 istanbul coffee 10/31/1923    31
#> 4 istanbul coffee  11/1/1923    22
#> 5 istanbul coffee  11/2/1923     3
#> 6 istanbul coffee  11/3/1923    28

maR

library(Rinvent)
exampleDataR= data.table::as.data.table(exampleDataR)
exampleDataR = exampleDataR[order(location,item,date)]
exampleDataR[,ma5:= maR(sales,4),list(location,item)]
head(exampleDataR,10)
#>     location item      date sales   ma5
#>  1:   ankara  tea 4/23/1920    22    NA
#>  2:   ankara  tea 4/24/1920    30 22.00
#>  3:   ankara  tea 4/25/1920    29 26.00
#>  4:   ankara  tea 4/26/1920    34 27.00
#>  5:   ankara  tea 4/27/1920     9 28.75
#>  6:   ankara  tea 4/28/1920    15 25.50
#>  7:   ankara  tea 4/29/1920    40 21.75
#>  8:   ankara  tea 4/30/1920     7 24.50
#>  9:   ankara  tea  5/1/1920    26 17.75
#> 10:   ankara  tea 5/10/1920    39 22.00

readparquetR

temp <- tempfile()
arrow::write_parquet(mtcars, paste(temp,".parquet"))
readparquetR(paste(temp,".parquet"))
#>      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#>  1: 21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#>  2: 21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#>  3: 22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#>  4: 21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#>  5: 18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#>  6: 18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#>  7: 14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#>  8: 24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#>  9: 22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> 10: 19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> 11: 17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> 12: 16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> 13: 17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> 14: 15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> 15: 10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
#> 16: 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> 17: 14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> 18: 32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> 19: 30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> 20: 33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1
#> 21: 21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> 22: 15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> 23: 15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> 24: 13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> 25: 19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> 26: 27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> 27: 26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> 28: 30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> 29: 15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> 30: 19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> 31: 15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> 32: 21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2
#>      mpg cyl  disp  hp drat    wt  qsec vs am gear carb

readparquetR(pathtoread=paste(temp,".parquet"), sample=T)
#>    mpg cyl disp  hp drat   wt  qsec vs am gear carb
#> 1:  21   6  160 110  3.9 2.62 16.46  0  1    4    4

readparquetR(pathtoread=paste(temp,".parquet"), 
             collist = c("mpg","cyl","vs"),
             format="parquet",
             where="cyl==4 & vs!='0'")
#>      mpg cyl vs
#>  1: 22.8   4  1
#>  2: 24.4   4  1
#>  3: 22.8   4  1
#>  4: 32.4   4  1
#>  5: 30.4   4  1
#>  6: 33.9   4  1
#>  7: 21.5   4  1
#>  8: 27.3   4  1
#>  9: 30.4   4  1
#> 10: 21.4   4  1

date_to_yyyymmdd

date_to_yyyymmdd("2022-02-28")
#> [1] "2022-02-28"
date_to_yyyymmdd("02/28/2022")
#> [1] "2022-02-28"
date_to_yyyymmdd("28.02.2022")
#> [1] "2022-02-28"
date_to_yyyymmdd("Feb 28, 2022")
#> [1] "2022-02-28"
date_to_yyyymmdd("28.02.2022", smart_format = F ,forceformat="%d.%m.%Y" )
#> [1] "2022-02-28"