[R] Format printing with R
Jeff Newmiller
jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Tue Nov 22 01:57:56 CET 2022
Andrew's example works for him and for me.
If you want help, provide the output of
dput(head(Mean))
dput(head(Std.dev))
On November 21, 2022 4:15:57 PM PST, "Steven T. Yen" <styen using ntu.edu.tw> wrote:
>Thanks to all, but no, signif() did not work:
>
>> print(signif(cbind(Mean,Std.dev),digits=2))
> Mean Std.dev
> [1,] 0.310 0.46
> [2,] 0.190 0.39
> [3,] 45.000 16.00
> [4,] 0.510 0.50
> [5,] 0.490 0.50
> [6,] 0.700 0.46
>
>On 11/22/2022 5:41 AM, Andrew Simmons wrote:
>> For print(), digits is the minimal number of significant digits. In
>> your case, rounding the first column to the 3rd decimal place gives at
>> least 2 sigfigs and rounding the second column to the 2nd decimal
>> place.
>>
>> If you want to print all numbers to two significant digits, regardless
>> of what other numbers are in the column, use signif() before print():
>>
>> Mean <- c(0.3107966, 0.1880302, 45.3185794, 0.506637, 0.493363,
>> 0.702915, 0.297085, 0.7967066, 0.2032934, 0.6582301, 0.3417699,
>> 0.7262913, 0.2737087, 0.6415484, 0.3584516, 0.9110264, 0.0889736,
>> 0.5211453, 0.4788547, 0.5481055, 0.4518945, 0.913509, 0.086491,
>> 0.8727269, 0.1272731, 0.1015717, 0.6043692, 0.2940592, 0.2735274,
>> 0.3777426, 0.34873, 0.1603127, 0.1723783, 0.1230961, 0.1779381,
>> 0.0964334, 0.1584698, 0.1113717, 0.3349813, 0.4081109, 0.2569078,
>> 0.1034356, 0.6741233, 0.1254412, 0.0969999, 0.0587457, 0.4401115,
>> 0.4689114, 0.0322313, 0.5907618, 0.1591195, 0.1132923, 0.1124207,
>> 0.0244058, 0.7058787, 0.2941213, 0.0746892, 0.474911, 0.3471837,
>> 0.0435036, 0.0597126, 0.0478775, 0.1152615, 0.2074968, 0.2440626,
>> 0.1605995, 0.0804598, 0.1442422, 0.3443231, 0.428056, 0.0528221,
>> 0.0805222, 0.0457169, 0.0485596, 0.1333443, 0.0932917, 0.0653987,
>> 0.0573934, 0.1399086, 0.0887337, 0.0984479, 0.0914421, 0.1155505,
>> 0.1363764, 0.113457, 1.2985286)
>> Std.dev <- c(0.46282, 0.390736, 16.313635, 0.499956, 0.499956,
>> 0.456974, 0.456974, 0.402449, 0.402449, 0.474303, 0.474303, 0.445861,
>> 0.445861, 0.479546, 0.479546, 0.284706, 0.284706, 0.499553, 0.499553,
>> 0.49768, 0.49768, 0.281088, 0.281088, 0.333279, 0.333279, 0.302084,
>> 0.488986, 0.455619, 0.445769, 0.484823, 0.476568, 0.366896, 0.377709,
>> 0.328547, 0.382461, 0.295185, 0.365181, 0.314592, 0.471984, 0.491484,
>> 0.436928, 0.304527, 0.468701, 0.331218, 0.295958, 0.235148, 0.4964,
>> 0.499033, 0.176614, 0.491693, 0.365787, 0.31695, 0.315883, 0.154305,
>> 0.455647, 0.455647, 0.262889, 0.49937, 0.476075, 0.203988, 0.236954,
>> 0.213507, 0.319337, 0.405514, 0.42953, 0.367161, 0.272004, 0.351335,
>> 0.475147, 0.494797, 0.223678, 0.2721, 0.20887, 0.214945, 0.339946,
>> 0.290841, 0.247228, 0.232593, 0.346892, 0.284359, 0.297919, 0.288237,
>> 0.319685, 0.343188, 0.317151, 0.739096)
>> print(signif(cbind(Mean, Std.dev), 2))
>>
>> which looks like:
>>
>>> print(signif(cbind(Mean, Std.dev), 2))
>> Mean Std.dev
>> [1,] 0.310 0.46
>> [2,] 0.190 0.39
>> [3,] 45.000 16.00
>> [4,] 0.510 0.50
>> [5,] 0.490 0.50
>> [6,] 0.700 0.46
>> [7,] 0.300 0.46
>> [8,] 0.800 0.40
>> [9,] 0.200 0.40
>> [10,] 0.660 0.47
>> [11,] 0.340 0.47
>> [12,] 0.730 0.45
>> [13,] 0.270 0.45
>> [14,] 0.640 0.48
>> [15,] 0.360 0.48
>> [16,] 0.910 0.28
>> [17,] 0.089 0.28
>> [18,] 0.520 0.50
>> [19,] 0.480 0.50
>> [20,] 0.550 0.50
>> [21,] 0.450 0.50
>> [22,] 0.910 0.28
>> [23,] 0.086 0.28
>> [24,] 0.870 0.33
>> [25,] 0.130 0.33
>> [26,] 0.100 0.30
>> [27,] 0.600 0.49
>> [28,] 0.290 0.46
>> [29,] 0.270 0.45
>> [30,] 0.380 0.48
>> [31,] 0.350 0.48
>> [32,] 0.160 0.37
>> [33,] 0.170 0.38
>> [34,] 0.120 0.33
>> [35,] 0.180 0.38
>> [36,] 0.096 0.30
>> [37,] 0.160 0.37
>> [38,] 0.110 0.31
>> [39,] 0.330 0.47
>> [40,] 0.410 0.49
>> [41,] 0.260 0.44
>> [42,] 0.100 0.30
>> [43,] 0.670 0.47
>> [44,] 0.130 0.33
>> [45,] 0.097 0.30
>> [46,] 0.059 0.24
>> [47,] 0.440 0.50
>> [48,] 0.470 0.50
>> [49,] 0.032 0.18
>> [50,] 0.590 0.49
>> [51,] 0.160 0.37
>> [52,] 0.110 0.32
>> [53,] 0.110 0.32
>> [54,] 0.024 0.15
>> [55,] 0.710 0.46
>> [56,] 0.290 0.46
>> [57,] 0.075 0.26
>> [58,] 0.470 0.50
>> [59,] 0.350 0.48
>> [60,] 0.044 0.20
>> [61,] 0.060 0.24
>> [62,] 0.048 0.21
>> [63,] 0.120 0.32
>> [64,] 0.210 0.41
>> [65,] 0.240 0.43
>> [66,] 0.160 0.37
>> [67,] 0.080 0.27
>> [68,] 0.140 0.35
>> [69,] 0.340 0.48
>> [70,] 0.430 0.49
>> [71,] 0.053 0.22
>> [72,] 0.081 0.27
>> [73,] 0.046 0.21
>> [74,] 0.049 0.21
>> [75,] 0.130 0.34
>> [76,] 0.093 0.29
>> [77,] 0.065 0.25
>> [78,] 0.057 0.23
>> [79,] 0.140 0.35
>> [80,] 0.089 0.28
>> [81,] 0.098 0.30
>> [82,] 0.091 0.29
>> [83,] 0.120 0.32
>> [84,] 0.140 0.34
>> [85,] 0.110 0.32
>> [86,] 1.300 0.74
>> R will still print 3 decimal places for the third column since it
>> wants them to be of the same format, but each number is 2 sigfigs.
>>
>> On Mon, Nov 21, 2022 at 3:41 PM Steven T. Yen via R-help
>> <r-help using r-project.org> wrote:
>>> Hi, I have two variables with 86 observations each. Below I print with
>>> the print command with digit=2. But, I am getting three decimal places
>>> for my first variable and two for the second. Please help. Thanks.
>>>
>>> > cbind(Mean,Std.dev)
>>> Mean Std.dev
>>> [1,] 0.3107966 0.462820
>>> [2,] 0.1880302 0.390736
>>> [3,] 45.3185794 16.313635
>>> [4,] 0.5066370 0.499956
>>> [5,] 0.4933630 0.499956
>>> [6,] 0.7029150 0.456974
>>> [7,] 0.2970850 0.456974
>>> [8,] 0.7967066 0.402449
>>> [9,] 0.2032934 0.402449
>>> [10,] 0.6582301 0.474303
>>> [11,] 0.3417699 0.474303
>>> [12,] 0.7262913 0.445861
>>> [13,] 0.2737087 0.445861
>>> [14,] 0.6415484 0.479546
>>> [15,] 0.3584516 0.479546
>>> [16,] 0.9110264 0.284706
>>> [17,] 0.0889736 0.284706
>>> [18,] 0.5211453 0.499553
>>> [19,] 0.4788547 0.499553
>>> [20,] 0.5481055 0.497680
>>> [21,] 0.4518945 0.497680
>>> [22,] 0.9135090 0.281088
>>> [23,] 0.0864910 0.281088
>>> [24,] 0.8727269 0.333279
>>> [25,] 0.1272731 0.333279
>>> [26,] 0.1015717 0.302084
>>> [27,] 0.6043692 0.488986
>>> [28,] 0.2940592 0.455619
>>> [29,] 0.2735274 0.445769
>>> [30,] 0.3777426 0.484823
>>> [31,] 0.3487300 0.476568
>>> [32,] 0.1603127 0.366896
>>> [33,] 0.1723783 0.377709
>>> [34,] 0.1230961 0.328547
>>> [35,] 0.1779381 0.382461
>>> [36,] 0.0964334 0.295185
>>> [37,] 0.1584698 0.365181
>>> [38,] 0.1113717 0.314592
>>> [39,] 0.3349813 0.471984
>>> [40,] 0.4081109 0.491484
>>> [41,] 0.2569078 0.436928
>>> [42,] 0.1034356 0.304527
>>> [43,] 0.6741233 0.468701
>>> [44,] 0.1254412 0.331218
>>> [45,] 0.0969999 0.295958
>>> [46,] 0.0587457 0.235148
>>> [47,] 0.4401115 0.496400
>>> [48,] 0.4689114 0.499033
>>> [49,] 0.0322313 0.176614
>>> [50,] 0.5907618 0.491693
>>> [51,] 0.1591195 0.365787
>>> [52,] 0.1132923 0.316950
>>> [53,] 0.1124207 0.315883
>>> [54,] 0.0244058 0.154305
>>> [55,] 0.7058787 0.455647
>>> [56,] 0.2941213 0.455647
>>> [57,] 0.0746892 0.262889
>>> [58,] 0.4749110 0.499370
>>> [59,] 0.3471837 0.476075
>>> [60,] 0.0435036 0.203988
>>> [61,] 0.0597126 0.236954
>>> [62,] 0.0478775 0.213507
>>> [63,] 0.1152615 0.319337
>>> [64,] 0.2074968 0.405514
>>> [65,] 0.2440626 0.429530
>>> [66,] 0.1605995 0.367161
>>> [67,] 0.0804598 0.272004
>>> [68,] 0.1442422 0.351335
>>> [69,] 0.3443231 0.475147
>>> [70,] 0.4280560 0.494797
>>> [71,] 0.0528221 0.223678
>>> [72,] 0.0805222 0.272100
>>> [73,] 0.0457169 0.208870
>>> [74,] 0.0485596 0.214945
>>> [75,] 0.1333443 0.339946
>>> [76,] 0.0932917 0.290841
>>> [77,] 0.0653987 0.247228
>>> [78,] 0.0573934 0.232593
>>> [79,] 0.1399086 0.346892
>>> [80,] 0.0887337 0.284359
>>> [81,] 0.0984479 0.297919
>>> [82,] 0.0914421 0.288237
>>> [83,] 0.1155505 0.319685
>>> [84,] 0.1363764 0.343188
>>> [85,] 0.1134570 0.317151
>>> [86,] 1.2985286 0.739096
>>> > print(cbind(Mean,Std.dev),digits=2)
>>> Mean Std.dev
>>> [1,] 0.311 0.46
>>> [2,] 0.188 0.39
>>> [3,] 45.319 16.31
>>> [4,] 0.507 0.50
>>> [5,] 0.493 0.50
>>> [6,] 0.703 0.46
>>> [7,] 0.297 0.46
>>> [8,] 0.797 0.40
>>> [9,] 0.203 0.40
>>> [10,] 0.658 0.47
>>> [11,] 0.342 0.47
>>> [12,] 0.726 0.45
>>> [13,] 0.274 0.45
>>> [14,] 0.642 0.48
>>> [15,] 0.358 0.48
>>> [16,] 0.911 0.28
>>> [17,] 0.089 0.28
>>> [18,] 0.521 0.50
>>> [19,] 0.479 0.50
>>> [20,] 0.548 0.50
>>> [21,] 0.452 0.50
>>> [22,] 0.914 0.28
>>> [23,] 0.086 0.28
>>> [24,] 0.873 0.33
>>> [25,] 0.127 0.33
>>> [26,] 0.102 0.30
>>> [27,] 0.604 0.49
>>> [28,] 0.294 0.46
>>> [29,] 0.274 0.45
>>> [30,] 0.378 0.48
>>> [31,] 0.349 0.48
>>> [32,] 0.160 0.37
>>> [33,] 0.172 0.38
>>> [34,] 0.123 0.33
>>> [35,] 0.178 0.38
>>> [36,] 0.096 0.30
>>> [37,] 0.158 0.37
>>> [38,] 0.111 0.31
>>> [39,] 0.335 0.47
>>> [40,] 0.408 0.49
>>> [41,] 0.257 0.44
>>> [42,] 0.103 0.30
>>> [43,] 0.674 0.47
>>> [44,] 0.125 0.33
>>> [45,] 0.097 0.30
>>> [46,] 0.059 0.24
>>> [47,] 0.440 0.50
>>> [48,] 0.469 0.50
>>> [49,] 0.032 0.18
>>> [50,] 0.591 0.49
>>> [51,] 0.159 0.37
>>> [52,] 0.113 0.32
>>> [53,] 0.112 0.32
>>> [54,] 0.024 0.15
>>> [55,] 0.706 0.46
>>> [56,] 0.294 0.46
>>> [57,] 0.075 0.26
>>> [58,] 0.475 0.50
>>> [59,] 0.347 0.48
>>> [60,] 0.044 0.20
>>> [61,] 0.060 0.24
>>> [62,] 0.048 0.21
>>> [63,] 0.115 0.32
>>> [64,] 0.207 0.41
>>> [65,] 0.244 0.43
>>> [66,] 0.161 0.37
>>> [67,] 0.080 0.27
>>> [68,] 0.144 0.35
>>> [69,] 0.344 0.48
>>> [70,] 0.428 0.49
>>> [71,] 0.053 0.22
>>> [72,] 0.081 0.27
>>> [73,] 0.046 0.21
>>> [74,] 0.049 0.21
>>> [75,] 0.133 0.34
>>> [76,] 0.093 0.29
>>> [77,] 0.065 0.25
>>> [78,] 0.057 0.23
>>> [79,] 0.140 0.35
>>> [80,] 0.089 0.28
>>> [81,] 0.098 0.30
>>> [82,] 0.091 0.29
>>> [83,] 0.116 0.32
>>> [84,] 0.136 0.34
>>> [85,] 0.113 0.32
>>> [86,] 1.299 0.74
>>> >
>>>
>>> ______________________________________________
>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>
>______________________________________________
>R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
--
Sent from my phone. Please excuse my brevity.
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