dplyr::left_join() but check for non-key overlapping fieldsR/clustering-methods.R
left_join_warn.RdPerform a dplyr join, but either warn if the two tables
share non-key fields If overwrite = TRUE, then shared columns will pull from x otherwise a suffix will be added to y. To perform this check, by must be specified, and it is an error if it is not.
right_join_warn(...)
left_join_warn(x, y, by, overwrite = FALSE, join = left_join, ...)passed to joining function
A pair of data frames, data frame extensions (e.g. a tibble), or lazy data frames (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
A pair of data frames, data frame extensions (e.g. a tibble), or lazy data frames (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
character specifying columns in x and y to key on.
logical -- should non-key fields in y be overwritten using x, or should a suffix (".y") be added
function giving the type of join to perform, eg, left, right, inner, outer.
data.frame or tibble
right_join_warn: perform a dplyr::right_join()
left_join_warn(mtcars, mtcars, by = 'mpg')
#> Warning: Tables share fields cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb, which will gain a suffix in mtcars
#> mpg cyl disp hp drat wt qsec vs am gear carb cyl.y disp.y hp.y drat.y
#> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 6 160.0 110 3.90
#> 2 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 6 160.0 110 3.90
#> 3 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 6 160.0 110 3.90
#> 4 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 6 160.0 110 3.90
#> 5 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 4 108.0 93 3.85
#> 6 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 4 140.8 95 3.92
#> 7 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 6 258.0 110 3.08
#> 8 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 4 121.0 109 4.11
#> 9 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 8 360.0 175 3.15
#> 10 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 6 225.0 105 2.76
#> 11 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 8 360.0 245 3.21
#> 12 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 4 146.7 62 3.69
#> 13 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 4 108.0 93 3.85
#> 14 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 4 140.8 95 3.92
#> 15 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 6 167.6 123 3.92
#> 16 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 8 400.0 175 3.08
#> 17 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 6 167.6 123 3.92
#> 18 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 8 275.8 180 3.07
#> 19 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 8 275.8 180 3.07
#> 20 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 8 275.8 180 3.07
#> 21 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 8 304.0 150 3.15
#> 22 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 8 472.0 205 2.93
#> 23 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 8 460.0 215 3.00
#> 24 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 8 472.0 205 2.93
#> 25 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 8 460.0 215 3.00
#> 26 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 8 440.0 230 3.23
#> 27 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 4 78.7 66 4.08
#> 28 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 4 75.7 52 4.93
#> 29 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 4 95.1 113 3.77
#> 30 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 4 71.1 65 4.22
#> 31 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 4 120.1 97 3.70
#> 32 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 8 318.0 150 2.76
#> 33 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 8 275.8 180 3.07
#> 34 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 8 304.0 150 3.15
#> 35 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 8 350.0 245 3.73
#> 36 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 6 167.6 123 3.92
#> 37 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 8 400.0 175 3.08
#> 38 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 4 79.0 66 4.08
#> 39 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 4 120.3 91 4.43
#> 40 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 4 75.7 52 4.93
#> 41 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 4 95.1 113 3.77
#> 42 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 8 351.0 264 4.22
#> 43 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 6 145.0 175 3.62
#> 44 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 8 301.0 335 3.54
#> 45 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 6 258.0 110 3.08
#> 46 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 4 121.0 109 4.11
#> wt.y qsec.y vs.y am.y gear.y carb.y
#> 1 2.620 16.46 0 1 4 4
#> 2 2.875 17.02 0 1 4 4
#> 3 2.620 16.46 0 1 4 4
#> 4 2.875 17.02 0 1 4 4
#> 5 2.320 18.61 1 1 4 1
#> 6 3.150 22.90 1 0 4 2
#> 7 3.215 19.44 1 0 3 1
#> 8 2.780 18.60 1 1 4 2
#> 9 3.440 17.02 0 0 3 2
#> 10 3.460 20.22 1 0 3 1
#> 11 3.570 15.84 0 0 3 4
#> 12 3.190 20.00 1 0 4 2
#> 13 2.320 18.61 1 1 4 1
#> 14 3.150 22.90 1 0 4 2
#> 15 3.440 18.30 1 0 4 4
#> 16 3.845 17.05 0 0 3 2
#> 17 3.440 18.90 1 0 4 4
#> 18 4.070 17.40 0 0 3 3
#> 19 3.730 17.60 0 0 3 3
#> 20 3.780 18.00 0 0 3 3
#> 21 3.435 17.30 0 0 3 2
#> 22 5.250 17.98 0 0 3 4
#> 23 5.424 17.82 0 0 3 4
#> 24 5.250 17.98 0 0 3 4
#> 25 5.424 17.82 0 0 3 4
#> 26 5.345 17.42 0 0 3 4
#> 27 2.200 19.47 1 1 4 1
#> 28 1.615 18.52 1 1 4 2
#> 29 1.513 16.90 1 1 5 2
#> 30 1.835 19.90 1 1 4 1
#> 31 2.465 20.01 1 0 3 1
#> 32 3.520 16.87 0 0 3 2
#> 33 3.780 18.00 0 0 3 3
#> 34 3.435 17.30 0 0 3 2
#> 35 3.840 15.41 0 0 3 4
#> 36 3.440 18.30 1 0 4 4
#> 37 3.845 17.05 0 0 3 2
#> 38 1.935 18.90 1 1 4 1
#> 39 2.140 16.70 0 1 5 2
#> 40 1.615 18.52 1 1 4 2
#> 41 1.513 16.90 1 1 5 2
#> 42 3.170 14.50 0 1 5 4
#> 43 2.770 15.50 0 1 5 6
#> 44 3.570 14.60 0 1 5 8
#> 45 3.215 19.44 1 0 3 1
#> 46 2.780 18.60 1 1 4 2
left_join_warn(mtcars, mtcars, by = 'mpg', overwrite = TRUE)
#> Warning: Overwriting fields cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb in table mtcars
#> 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 2.620 16.46 0 1 4 4
#> 3 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 4 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 5 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 6 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 7 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 8 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 9 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 10 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 11 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 12 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 13 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 14 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 15 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> 16 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> 17 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> 18 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> 19 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> 20 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 21 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 22 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 23 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 24 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 25 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 26 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> 27 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> 28 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 29 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 30 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> 31 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> 32 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> 33 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 34 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 35 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> 36 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 37 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 38 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> 39 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> 40 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 41 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 42 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> 43 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> 44 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> 45 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#> 46 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2