bind long row to shorter df

[sig]

Hi,
I have df with 4 columns and im trying to bind new row with 8 columns (length=8). any idea how to do it?

[technocrat]

Add four dummy columns to the first and use dplyr::add_row()

[sig]

how can I add 4 empty columns to df?

[technocrat]

dt4   <- data.frame(mtcars[1:4]) # 4 columns
dt8   <- data.frame(mtcars[1:8]) # 8 columns
dummy <- matrix(, nrow = 32, ncol = 4) # empty matrix with 4 col
                                       # and same rows as 4-col df
colnames(dummy) <- colnames(dt8[5:8])  # conform to wider df

part1 <- cbind(dt4,dummy)
colnames(part1) <- colnames(dt8)
tibble::remove_rownames(tibble::add_row(dt8,part1))
#>     mpg cyl  disp  hp drat    wt  qsec vs
#> 1  21.0   6 160.0 110 3.90 2.620 16.46  0
#> 2  21.0   6 160.0 110 3.90 2.875 17.02  0
#> 3  22.8   4 108.0  93 3.85 2.320 18.61  1
#> 4  21.4   6 258.0 110 3.08 3.215 19.44  1
#> 5  18.7   8 360.0 175 3.15 3.440 17.02  0
#> 6  18.1   6 225.0 105 2.76 3.460 20.22  1
#> 7  14.3   8 360.0 245 3.21 3.570 15.84  0
#> 8  24.4   4 146.7  62 3.69 3.190 20.00  1
#> 9  22.8   4 140.8  95 3.92 3.150 22.90  1
#> 10 19.2   6 167.6 123 3.92 3.440 18.30  1
#> 11 17.8   6 167.6 123 3.92 3.440 18.90  1
#> 12 16.4   8 275.8 180 3.07 4.070 17.40  0
#> 13 17.3   8 275.8 180 3.07 3.730 17.60  0
#> 14 15.2   8 275.8 180 3.07 3.780 18.00  0
#> 15 10.4   8 472.0 205 2.93 5.250 17.98  0
#> 16 10.4   8 460.0 215 3.00 5.424 17.82  0
#> 17 14.7   8 440.0 230 3.23 5.345 17.42  0
#> 18 32.4   4  78.7  66 4.08 2.200 19.47  1
#> 19 30.4   4  75.7  52 4.93 1.615 18.52  1
#> 20 33.9   4  71.1  65 4.22 1.835 19.90  1
#> 21 21.5   4 120.1  97 3.70 2.465 20.01  1
#> 22 15.5   8 318.0 150 2.76 3.520 16.87  0
#> 23 15.2   8 304.0 150 3.15 3.435 17.30  0
#> 24 13.3   8 350.0 245 3.73 3.840 15.41  0
#> 25 19.2   8 400.0 175 3.08 3.845 17.05  0
#> 26 27.3   4  79.0  66 4.08 1.935 18.90  1
#> 27 26.0   4 120.3  91 4.43 2.140 16.70  0
#> 28 30.4   4  95.1 113 3.77 1.513 16.90  1
#> 29 15.8   8 351.0 264 4.22 3.170 14.50  0
#> 30 19.7   6 145.0 175 3.62 2.770 15.50  0
#> 31 15.0   8 301.0 335 3.54 3.570 14.60  0
#> 32 21.4   4 121.0 109 4.11 2.780 18.60  1
#> 33 21.0   6 160.0 110   NA    NA    NA NA
#> 34 21.0   6 160.0 110   NA    NA    NA NA
#> 35 22.8   4 108.0  93   NA    NA    NA NA
#> 36 21.4   6 258.0 110   NA    NA    NA NA
#> 37 18.7   8 360.0 175   NA    NA    NA NA
#> 38 18.1   6 225.0 105   NA    NA    NA NA
#> 39 14.3   8 360.0 245   NA    NA    NA NA
#> 40 24.4   4 146.7  62   NA    NA    NA NA
#> 41 22.8   4 140.8  95   NA    NA    NA NA
#> 42 19.2   6 167.6 123   NA    NA    NA NA
#> 43 17.8   6 167.6 123   NA    NA    NA NA
#> 44 16.4   8 275.8 180   NA    NA    NA NA
#> 45 17.3   8 275.8 180   NA    NA    NA NA
#> 46 15.2   8 275.8 180   NA    NA    NA NA
#> 47 10.4   8 472.0 205   NA    NA    NA NA
#> 48 10.4   8 460.0 215   NA    NA    NA NA
#> 49 14.7   8 440.0 230   NA    NA    NA NA
#> 50 32.4   4  78.7  66   NA    NA    NA NA
#> 51 30.4   4  75.7  52   NA    NA    NA NA
#> 52 33.9   4  71.1  65   NA    NA    NA NA
#> 53 21.5   4 120.1  97   NA    NA    NA NA
#> 54 15.5   8 318.0 150   NA    NA    NA NA
#> 55 15.2   8 304.0 150   NA    NA    NA NA
#> 56 13.3   8 350.0 245   NA    NA    NA NA
#> 57 19.2   8 400.0 175   NA    NA    NA NA
#> 58 27.3   4  79.0  66   NA    NA    NA NA
#> 59 26.0   4 120.3  91   NA    NA    NA NA
#> 60 30.4   4  95.1 113   NA    NA    NA NA
#> 61 15.8   8 351.0 264   NA    NA    NA NA
#> 62 19.7   6 145.0 175   NA    NA    NA NA
#> 63 15.0   8 301.0 335   NA    NA    NA NA
#> 64 21.4   4 121.0 109   NA    NA    NA NA

^{Created on 2020-09-06 by the reprex package (v0.3.0)}