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Create a table from a tibble

This is a wrapper

summary = ggplot2::diamonds %>% filter(cut %in% c("Fair","Good")) %>% 
  group_by(cut,color,clarity) %>% 
  summarise(
    `average size (carat)` = sprintf("%1.2f [%1.2f \u2014 %1.2f]", mean(carat), mean(carat)-1.96*sd(carat), mean(carat)+1.96*sd(carat)),
    `median price` = sprintf_list("%1.0f [%1.0f \u2014 %1.0f]", quantile(price, c(0.5,0.25,0.75)))
  )
## `summarise()` has grouped output by 'cut', 'color'. You can override using the
## `.groups` argument.
table = summary %>% hux_tidy(colGroupVars = vars(cut), rowGroupVars = vars(color, clarity))

table %>% hux_default_layout(defaultFontSize = 8) %>% hux_save_as(out("multipage_t2"), std_size$third)
Fair Good
color clarity average size (carat) median price average size (carat) median price
D I1 1.88 [-0.22 — 3.97] 5538 [4718 — 8204] 1.04 [0.11 — 1.97] 4014 [2110 — 4754]
SI2 1.02 [0.31 — 1.73] 3473 [2478 — 4385] 0.86 [0.09 — 1.63] 3540 [1214 — 4458]
SI1 0.91 [0.29 — 1.54] 3900 [2352 — 4833] 0.70 [0.04 — 1.36] 2318 [738 — 4786]
VS2 0.84 [0.28 — 1.41] 4107 [2414 — 5797] 0.70 [0.06 — 1.34] 2768 [1203 — 5730]
VS1 0.63 [0.07 — 1.19] 2747 [1166 — 3047] 0.66 [0.07 — 1.25] 2816 [988 — 5650]
VVS2 0.59 [0.04 — 1.15] 1980 [1011 — 4040] 0.48 [-0.01 — 0.97] 1080 [719 — 3267]
VVS1 0.61 [-0.08 — 1.30] 1792 [1334 — 6272] 0.49 [-0.00 — 0.98] 1159 [825 — 4274]
IF 0.38 [0.21 — 0.55] 1440 [1324 — 1826] 0.79 [0.16 — 1.42] 15081 [3378 — 15928]
E I1 0.97 [0.56 — 1.37] 2036 [1273 — 2571] 1.33 [0.35 — 2.31] 3484 [2820 — 5706]
SI2 1.02 [0.29 — 1.74] 3438 [2660 — 4511] 0.88 [0.11 — 1.65] 3186 [1234 — 4384]
SI1 0.87 [0.19 — 1.54] 3508 [1383 — 4844] 0.72 [0.02 — 1.43] 2305 [755 — 4540]
VS2 0.69 [0.12 — 1.26] 2508 [1127 — 4514] 0.74 [0.13 — 1.35] 2662 [1424 — 6056]
VS1 0.63 [-0.05 — 1.32] 2071 [1044 — 3198] 0.68 [0.06 — 1.30] 2826 [1082 — 5201]
VVS2 0.60 [0.07 — 1.13] 2079 [945 — 5430] 0.56 [-0.12 — 1.24] 1524 [621 — 3950]
VVS1 0.64 [-0.03 — 1.31] 2805 [1908 — 5667] 0.42 [-0.03 — 0.87] 826 [564 — 1652]
IF 0.37 [-0.02 — 0.77] 912 [612 — 1053]
F I1 1.02 [-0.06 — 2.11] 1570 [919 — 3734] 0.98 [0.10 — 1.85] 2098 [1087 — 3640]
SI2 1.08 [0.20 — 1.96] 3540 [2312 — 4915] 1.00 [0.22 — 1.78] 3886 [2411 — 4357]
SI1 0.86 [0.15 — 1.58] 3197 [1504 — 4646] 0.77 [0.11 — 1.42] 2409 [1214 — 4372]
VS2 0.76 [0.22 — 1.30] 2762 [1402 — 4791] 0.75 [0.09 — 1.41] 2631 [1385 — 6032]
VS1 0.80 [0.21 — 1.40] 3002 [2083 — 6115] 0.62 [0.08 — 1.17] 1780 [1136 — 3072]
VVS2 0.63 [-0.10 — 1.36] 2286 [1043 — 4256] 0.61 [0.01 — 1.21] 2238 [868 — 4823]
VVS1 0.67 [-0.25 — 1.59] 1040 [1011 — 7960] 0.47 [-0.07 — 1.00] 965 [680 — 2283]
IF 0.55 [0.27 — 0.84] 2502 [1900 — 2947] 0.53 [-0.01 — 1.08] 1806 [788 — 3186]
G I1 1.23 [-0.02 — 2.48] 1954 [1069 — 6315] 1.17 [0.24 — 2.11] 3127 [1788 — 4436]
SI2 1.26 [0.24 — 2.29] 3598 [2569 — 7956] 1.09 [0.10 — 2.08] 3852 [2582 — 5095]
SI1 0.91 [0.29 — 1.53] 3145 [2032 — 4102] 0.88 [0.09 — 1.68] 3615 [1325 — 4708]
VS2 0.98 [0.20 — 1.76] 4838 [2401 — 5673] 0.82 [0.12 — 1.51] 3947 [1348 — 5701]
VS1 0.77 [0.21 — 1.34] 2396 [1350 — 4892] 0.78 [0.02 — 1.54] 3202 [926 — 6372]
VVS2 0.66 [0.02 — 1.31] 2167 [1367 — 3323] 0.63 [-0.03 — 1.29] 1800 [852 — 5604]
VVS1 0.57 [0.11 — 1.03] 2797 [1794 — 2930] 0.55 [-0.03 — 1.13] 1235 [816 — 3188]
IF 0.46 [0.27 — 0.64] 1488 [1308 — 1668] 0.65 [-0.16 — 1.46] 1706 [1004 — 5224]
H I1 1.50 [0.06 — 2.94] 3340 [1739 — 5995] 1.25 [0.31 — 2.19] 3156 [2775 — 5574]
SI2 1.36 [0.37 — 2.36] 4129 [2875 — 8810] 1.17 [0.10 — 2.25] 3965 [3024 — 7120]
SI1 1.11 [0.26 — 1.97] 3816 [2591 — 6838] 0.91 [0.01 — 1.80] 3726 [1132 — 4840]
VS2 1.04 [0.16 — 1.92] 3658 [2278 — 5625] 0.88 [-0.02 — 1.78] 3570 [991 — 5567]
VS1 0.98 [0.17 — 1.78] 3800 [2139 — 5296] 0.78 [-0.07 — 1.63] 2421 [689 — 5544]
VVS2 0.84 [0.21 — 1.47] 2717 [2554 — 4334] 0.59 [-0.05 — 1.23] 1821 [625 — 2699]
VVS1 0.91 [NA — NA] 4115 [4115 — 4115] 0.47 [-0.01 — 0.95] 893 [684 — 1653]
IF 0.94 [0.04 — 1.83] 4554 [2163 — 8339]
I I1 1.32 [0.34 — 2.31] 2396 [2056 — 4956] 1.41 [0.09 — 2.73] 3098 [2540 — 4620]
SI2 1.51 [0.33 — 2.70] 4704 [3054 — 9610] 1.42 [0.16 — 2.68] 4953 [3061 — 11400]
SI1 1.11 [0.41 — 1.81] 3308 [2856 — 4990] 1.02 [-0.08 — 2.11] 3382 [1033 — 8095]
VS2 0.95 [0.26 — 1.65] 2794 [1957 — 3836] 1.13 [0.09 — 2.17] 4138 [2184 — 8764]
VS1 1.01 [0.05 — 1.97] 2732 [2184 — 4281] 0.93 [-0.04 — 1.90] 3447 [957 — 6584]
VVS2 0.84 [0.26 — 1.43] 2322 [2128 — 3128] 0.72 [0.02 — 1.42] 2309 [886 — 3401]
VVS1 0.90 [NA — NA] 4194 [4194 — 4194] 0.67 [-0.04 — 1.37] 1737 [842 — 3914]
IF 0.53 [-0.04 — 1.10] 916 [695 — 2988]
J I1 1.99 [-0.19 — 4.18] 5405 [2313 — 6542] 1.37 [0.39 — 2.35] 3356 [2151 — 4999]
SI2 1.32 [0.27 — 2.36] 3302 [2736 — 5534] 1.32 [0.27 — 2.37] 4559 [3204 — 6421]
SI1 1.18 [0.29 — 2.07] 3604 [2497 — 5622] 1.13 [0.06 — 2.19] 3672 [2016 — 6564]
VS2 1.03 [0.03 — 2.04] 2854 [1749 — 3933] 1.11 [0.13 — 2.10] 3840 [1914 — 7156]
VS1 1.23 [0.19 — 2.27] 3022 [1999 — 8193] 0.88 [-0.14 — 1.89] 1990 [631 — 5591]
VVS2 1.01 [NA — NA] 2998 [2998 — 2998] 0.94 [-0.11 — 1.99] 3193 [1105 — 5831]
VVS1 0.70 [NA — NA] 1691 [1691 — 1691] 1.00 [NA — NA] 4633 [4633 — 4633]
IF 0.69 [-0.04 — 1.42] 1557 [886 — 4534]