Hi Steven,
I thought that the problem might be in the two large numbers, but
using a subset (I didn't want to edit out all the line numbers), I get
what I expected:
sydf<-read.table(text="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",
stringsAsFactors=FALSE,header=TRUE)
> print(sydf,digits=2)
Mean Std.dev
[1,] 0.31 0.46
[2,] 0.19 0.39
[3,] 45.32 16.31
[4,] 0.51 0.50
[5,] 0.49 0.50
[6,] 0.70 0.46
[7,] 0.30 0.46
[8,] 0.80 0.40
[9,] 0.20 0.40
I don't think it is your use of "cbind", but I didn't edit out Mean
and Std.dev and try it.
Jim
On Tue, Nov 22, 2022 at 7:41 AM Steven T. Yen via R-help
<r-help@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
> >
>
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