How Do I Print All Rows of a Tibble in R?

In R, you can print all of the rows of a tibble by using the print() function and passing in the tibble as an argument. This will print out the entire contents of the tibble, including all rows and columns. You can also use the View() function if you want to view the tibble in a separate window.


A tibble is a data frame in R that has a refined print method that only shows the first 10 rows of a data frame. This makes it much easier to work with large data and prevents R from attempting to display every row of a data frame.

For example, consider the following tibble with 80 rows and 2 columns:

#load dplyr
library(dplyr)

#make this example reproducible
set.seed(1)

#create tibble
data <- tibble(a = rnorm(80),
               b = rnorm(80))

#view tibble
data

# A tibble: 80 x 2
        a      b
      
 1 -0.626 -0.569
 2  0.184 -0.135
 3 -0.836  1.18 
 4  1.60  -1.52 
 5  0.330  0.594
 6 -0.820  0.333
 7  0.487  1.06 
 8  0.738 -0.304
 9  0.576  0.370
10 -0.305  0.267
# ... with 70 more rows

When we type in the name of the tibble in R, it will only show the first 10 rows by default. However, it does tell us that there are 70 more rows that are not being displayed.

But in some cases you may actually want to see more than just 10 rows of a tibble.

Note: If you’re new to tibbles, a great place to start is the tibbles chapter in R for Data Science.

Print a Specific Number of Rows of a Tibble

You can print a specific number of rows of a tibble by specifying a number in the print() function:

#print first 20 rows of tibble
print(data, n=20)

# A tibble: 80 x 2
         a      b
       
 1 -0.626  -0.569
 2  0.184  -0.135
 3 -0.836   1.18 
 4  1.60   -1.52 
 5  0.330   0.594
 6 -0.820   0.333
 7  0.487   1.06 
 8  0.738  -0.304
 9  0.576   0.370
10 -0.305   0.267
11  1.51   -0.543
12  0.390   1.21 
13 -0.621   1.16 
14 -2.21    0.700
15  1.12    1.59 
16 -0.0449  0.558
17 -0.0162 -1.28 
18  0.944  -0.573
19  0.821  -1.22 
20  0.594  -0.473
# ... with 60 more rows

You can also use the pipe operator to achieve the same result:

#print first 20 rows of tibble
data %>% print(n=20)

# A tibble: 80 x 2
         a      b
       
 1 -0.626  -0.569
 2  0.184  -0.135
 3 -0.836   1.18 
 4  1.60   -1.52 
 5  0.330   0.594
 6 -0.820   0.333
 7  0.487   1.06 
 8  0.738  -0.304
 9  0.576   0.370
10 -0.305   0.267
11  1.51   -0.543
12  0.390   1.21 
13 -0.621   1.16 
14 -2.21    0.700
15  1.12    1.59 
16 -0.0449  0.558
17 -0.0162 -1.28 
18  0.944  -0.573
19  0.821  -1.22 
20  0.594  -0.473
# ... with 60 more rows

Print a All Rows of a Tibble

You can print every row of a tibble by specifying n = Inf:

#print all rows of tibble
data %>% print(n=Inf)

# A tibble: 80 x 2
          a       b
         
 1 -0.626   -0.569 
 2  0.184   -0.135 
 3 -0.836    1.18  
 4  1.60    -1.52  
 5  0.330    0.594 
 6 -0.820    0.333 
 7  0.487    1.06  
 8  0.738   -0.304 
 9  0.576    0.370 
10 -0.305    0.267 
11  1.51    -0.543 
12  0.390    1.21  
13 -0.621    1.16  
14 -2.21     0.700 
15  1.12     1.59  
16 -0.0449   0.558 
17 -0.0162  -1.28  
18  0.944   -0.573 
19  0.821   -1.22  
20  0.594   -0.473 
21  0.919   -0.620 
22  0.782    0.0421
23  0.0746  -0.911 
24 -1.99     0.158 
25  0.620   -0.655 
26 -0.0561   1.77  
27 -0.156    0.717 
28 -1.47     0.910 
29 -0.478    0.384 
30  0.418    1.68  
31  1.36    -0.636 
32 -0.103   -0.462 
33  0.388    1.43  
34 -0.0538  -0.651 
35 -1.38    -0.207 
36 -0.415   -0.393 
37 -0.394   -0.320 
38 -0.0593  -0.279 
39  1.10     0.494 
40  0.763   -0.177 
41 -0.165   -0.506 
42 -0.253    1.34  
43  0.697   -0.215 
44  0.557   -0.180 
45 -0.689   -0.100 
46 -0.707    0.713 
47  0.365   -0.0736
48  0.769   -0.0376
49 -0.112   -0.682 
50  0.881   -0.324 
51  0.398    0.0602
52 -0.612   -0.589 
53  0.341    0.531 
54 -1.13    -1.52  
55  1.43     0.307 
56  1.98    -1.54  
57 -0.367   -0.301 
58 -1.04    -0.528 
59  0.570   -0.652 
60 -0.135   -0.0569
61  2.40    -1.91  
62 -0.0392   1.18  
63  0.690   -1.66  
64  0.0280  -0.464 
65 -0.743   -1.12  
66  0.189   -0.751 
67 -1.80     2.09  
68  1.47     0.0174
69  0.153   -1.29  
70  2.17    -1.64  
71  0.476    0.450 
72 -0.710   -0.0186
73  0.611   -0.318 
74 -0.934   -0.929 
75 -1.25    -1.49  
76  0.291   -1.08  
77 -0.443    1.00  
78  0.00111 -0.621 
79  0.0743  -1.38  
80 -0.590    1.87

You can find more R tutorials here.

x