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Produce table for descriptive statistics by groups for several variables easily. Depending on the nature of these variables, different descriptive statistical methods were used(t-test, ANOVA, Kruskal-Wallis, chi-squared, Fisher's,...)

Usage

gaze(x, ...)

# S3 method for formula
gaze(x, ...)

# S3 method for data.frame
gaze(x, ...)

# S3 method for coxph
gaze(x, ...)

# S3 method for survreg
gaze(x, ...)

# S3 method for glm
gaze(x, ...)

# S3 method for lm
gaze(x, ...)

# S3 method for tidycrr
gaze(x, ...)

Arguments

x

An R object, formula or data.frame

...

arguments to be passed to gaze.data.frame or gaze.formula

Value

An object of class "gaze" which inherits from the class "data.frame" with at least the following attributes:

attr(*,"yvars)

character. name of dependent variable

Methods (by class)

  • gaze(formula): S3 method for formula

  • gaze(data.frame): default S3 method

  • gaze(coxph): default S3 method

  • gaze(survreg): default S3 method

  • gaze(glm): default S3 method

  • gaze(lm): default S3 method

  • gaze(tidycrr): default S3 method

Examples

library(moonBook)
library(dplyr)
gaze(acs)
#> —————————————————————————————————————————————————
#>        name            levels          stats     
#> —————————————————————————————————————————————————
#> age               Mean ± SD           63.3 ± 11.7 
#> sex               Female              287 (33.5%) 
#>                   Male                570 (66.5%) 
#> cardiogenicShock  No                  805 (93.9%) 
#>                   Yes                   52 (6.1%) 
#> entry             Femoral             312 (36.4%) 
#>                   Radial              545 (63.6%) 
#> Dx                NSTEMI              153 (17.9%) 
#>                   STEMI               304 (35.5%) 
#>                   Unstable Angina     400 (46.7%) 
#> EF                Mean ± SD            55.8 ± 9.6 
#> height            Mean ± SD           163.2 ± 9.1 
#> weight            Mean ± SD           64.8 ± 11.4 
#> BMI               Mean ± SD            24.3 ± 3.3 
#> obesity           No                  567 (66.2%) 
#>                   Yes                 290 (33.8%) 
#> TC                Mean ± SD          185.2 ± 47.8 
#> LDLC              Mean ± SD          116.6 ± 41.1 
#> HDLC              Mean ± SD           38.2 ± 11.1 
#> TG                Mean ± SD          125.2 ± 90.9 
#> DM                No                  553 (64.5%) 
#>                   Yes                 304 (35.5%) 
#> HBP               No                  356 (41.5%) 
#>                   Yes                 501 (58.5%) 
#> smoking           Ex-smoker           204 (23.8%) 
#>                   Never               332 (38.7%) 
#>                   Smoker              321 (37.5%) 
#> —————————————————————————————————————————————————
gaze(~age+sex,data=acs)
#> ——————————————————————————————
#>  name   levels       stats    
#> ——————————————————————————————
#> age   Mean ± SD    63.3 ± 11.7 
#> sex   Female       287 (33.5%) 
#>       Male         570 (66.5%) 
#> ——————————————————————————————
gaze(sex~.,data=acs,digits=1,method=1,show.p=TRUE) %>% myft()

name

levels

Female (N=287)

Male (N=570)

p

age

Mean ± SD

68.7 ± 10.7

60.6 ± 11.2

<.001

cardiogenicShock

No

275 (95.8%)

530 (93%)

.136

Yes

12 (4.2%)

40 (7%)

entry

Femoral

119 (41.5%)

193 (33.9%)

.035

Radial

168 (58.5%)

377 (66.1%)

Dx

NSTEMI

50 (17.4%)

103 (18.1%)

.012

STEMI

84 (29.3%)

220 (38.6%)

Unstable Angina

153 (53.3%)

247 (43.3%)

EF

Mean ± SD

56.3 ± 10.1

55.6 ± 9.4

.387

height

Mean ± SD

153.8 ± 6.2

167.9 ± 6.1

<.001

weight

Mean ± SD

57.2 ± 9.3

68.7 ± 10.3

<.001

BMI

Mean ± SD

24.2 ± 3.6

24.3 ± 3.2

.611

obesity

No

194 (67.6%)

373 (65.4%)

.580

Yes

93 (32.4%)

197 (34.6%)

TC

Mean ± SD

188.9 ± 51.1

183.3 ± 45.9

.124

LDLC

Mean ± SD

117.8 ± 41.2

116.0 ± 41.1

.561

HDLC

Mean ± SD

39.0 ± 11.5

37.8 ± 10.9

.145

TG

Mean ± SD

119.9 ± 76.2

127.9 ± 97.3

.195

DM

No

173 (60.3%)

380 (66.7%)

.077

Yes

114 (39.7%)

190 (33.3%)

HBP

No

83 (28.9%)

273 (47.9%)

<.001

Yes

204 (71.1%)

297 (52.1%)

smoking

Ex-smoker

49 (17.1%)

155 (27.2%)

<.001

Never

209 (72.8%)

123 (21.6%)

Smoker

29 (10.1%)

292 (51.2%)

# \donttest{ gaze(sex~age+Dx,data=acs) #> ————————————————————————————————————————————————————————————————————— #> Dependent:sex levels Female Male p #> (N) (N=287) (N=570) #> ————————————————————————————————————————————————————————————————————— #> age Mean ± SD 68.7 ± 10.7 60.6 ± 11.2 <.001 #> Dx NSTEMI 50 (17.4%) 103 (18.1%) .012 #> STEMI 84 (29.3%) 220 (38.6%) #> Unstable Angina 153 (53.3%) 247 (43.3%) #> ————————————————————————————————————————————————————————————————————— gaze(EF~.,data=acs) %>% myft()

name

levels

unit

value

age

[28,91]

Mean ± SD

63.3 ± 11.7

sex

Female (N=287)

Mean ± SD

56.3 ± 10.1

Male (N=570)

Mean ± SD

55.6 ± 9.4

cardiogenicShock

No (N=805)

Mean ± SD

56.1 ± 9.4

Yes (N=52)

Mean ± SD

50.2 ± 11.6

entry

Femoral (N=312)

Mean ± SD

54.5 ± 10.6

Radial (N=545)

Mean ± SD

56.6 ± 8.9

Dx

NSTEMI (N=153)

Mean ± SD

55.0 ± 9.3

STEMI (N=304)

Mean ± SD

52.4 ± 9.5

Unstable Angina (N=400)

Mean ± SD

59.2 ± 8.7

height

[130,185]

Mean ± SD

163.2 ± 9.1

weight

[30,112]

Mean ± SD

64.8 ± 11.4

BMI

[15.6,41.4]

Mean ± SD

24.3 ± 3.3

obesity

No (N=567)

Mean ± SD

55.2 ± 9.8

Yes (N=290)

Mean ± SD

57.0 ± 9.2

TC

[25,493]

Mean ± SD

185.2 ± 47.8

LDLC

[15,366]

Mean ± SD

116.6 ± 41.1

HDLC

[4,89]

Mean ± SD

38.2 ± 11.1

TG

[11,877]

Mean ± SD

125.2 ± 90.9

DM

No (N=553)

Mean ± SD

56.4 ± 8.9

Yes (N=304)

Mean ± SD

54.9 ± 10.7

HBP

No (N=356)

Mean ± SD

56.0 ± 9.6

Yes (N=501)

Mean ± SD

55.7 ± 9.7

smoking

Ex-smoker (N=204)

Mean ± SD

55.7 ± 9.1

Never (N=332)

Mean ± SD

56.0 ± 10.2

Smoker (N=321)

Mean ± SD

55.7 ± 9.4

gaze(sex+Dx~.,data=acs,show.p=TRUE) %>% myft()

sex (N)

Female (N=287)

Male (N=570)

name

levels

NSTEMI (N=50)

STEMI (N=84)

Unstable Angina (N=153)

p

NSTEMI (N=103)

STEMI (N=220)

Unstable Angina (N=247)

p

age

Mean ± SD

70.9 ± 11.4

69.1 ± 10.4

67.7 ± 10.7

.177

61.1 ± 11.6

59.4 ± 11.7

61.4 ± 10.6

.133

cardiogenicShock

No

49 (98%)

73 (86.9%)

153 (100%)

<.001

100 (97.1%)

183 (83.2%)

247 (100%)

<.001

Yes

1 (2%)

11 (13.1%)

0 (0%)

3 (2.9%)

37 (16.8%)

0 (0%)

entry

Femoral

22 (44%)

45 (53.6%)

52 (34%)

.013

36 (35%)

88 (40%)

69 (27.9%)

.022

Radial

28 (56%)

39 (46.4%)

101 (66%)

67 (65%)

132 (60%)

178 (72.1%)

EF

Mean ± SD

54.8 ± 9.1

52.3 ± 10.9

59.4 ± 8.8

<.001

55.1 ± 9.4

52.4 ± 8.9

59.1 ± 8.7

<.001

height

Mean ± SD

154.2 ± 5.1

155.7 ± 5.4

152.6 ± 6.7

.002

167.5 ± 5.7

168.7 ± 6.0

167.3 ± 6.4

.055

weight

Mean ± SD

57.2 ± 10.3

57.4 ± 9.0

57.1 ± 9.1

.978

67.5 ± 8.4

68.8 ± 10.9

69.0 ± 10.6

.479

BMI

Mean ± SD

24.1 ± 4.3

23.6 ± 3.2

24.5 ± 3.5

.215

24.1 ± 2.6

24.1 ± 3.4

24.6 ± 3.4

.205

obesity

No

35 (70%)

60 (71.4%)

99 (64.7%)

.528

71 (68.9%)

149 (67.7%)

153 (61.9%)

.301

Yes

15 (30%)

24 (28.6%)

54 (35.3%)

32 (31.1%)

71 (32.3%)

94 (38.1%)

TC

Mean ± SD

196.3 ± 52.7

180.7 ± 45.7

191.1 ± 53.1

.192

192.6 ± 54.3

184.1 ± 42.6

178.7 ± 44.6

.036

LDLC

Mean ± SD

127.7 ± 39.5

111.0 ± 40.0

118.3 ± 41.8

.088

125.4 ± 47.1

118.9 ± 39.1

109.5 ± 39.2

.002

HDLC

Mean ± SD

40.1 ± 13.8

39.5 ± 11.2

38.5 ± 10.8

.627

38.4 ± 10.9

38.1 ± 10.9

37.4 ± 10.9

.655

TG

Mean ± SD

112.5 ± 51.1

112.3 ± 87.2

126.3 ± 76.0

.316

138.0 ± 100.2

104.3 ± 65.5

144.3 ± 114.2

<.001

DM

No

25 (50%)

54 (64.3%)

94 (61.4%)

.240

71 (68.9%)

154 (70%)

155 (62.8%)

.219

Yes

25 (50%)

30 (35.7%)

59 (38.6%)

32 (31.1%)

66 (30%)

92 (37.2%)

HBP

No

19 (38%)

28 (33.3%)

36 (23.5%)

.084

43 (41.7%)

122 (55.5%)

108 (43.7%)

.016

Yes

31 (62%)

56 (66.7%)

117 (76.5%)

60 (58.3%)

98 (44.5%)

139 (56.3%)

smoking

Ex-smoker

8 (16%)

13 (15.5%)

28 (18.3%)

.184

34 (33%)

53 (24.1%)

68 (27.5%)

.002

Never

37 (74%)

57 (67.9%)

115 (75.2%)

13 (12.6%)

40 (18.2%)

70 (28.3%)

Smoker

5 (10%)

14 (16.7%)

10 (6.5%)

56 (54.4%)

127 (57.7%)

109 (44.1%)

gaze(sex+Dx~.,data=acs) #> ————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> sex (N) Female (N=287) Male (N=570) #> ————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> Dependent:Dx levels NSTEMI STEMI Unstable Angina p NSTEMI STEMI Unstable Angina p #> (N) (N=50) (N=84) (N=153) (N=103) (N=220) (N=247) #> ————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> age Mean ± SD 70.9 ± 11.4 69.1 ± 10.4 67.7 ± 10.7 .177 61.1 ± 11.6 59.4 ± 11.7 61.4 ± 10.6 .133 #> cardiogenicShock No 49 (98%) 73 (86.9%) 153 (100%) <.001 100 (97.1%) 183 (83.2%) 247 (100%) <.001 #> Yes 1 (2%) 11 (13.1%) 0 (0%) 3 (2.9%) 37 (16.8%) 0 (0%) #> entry Femoral 22 (44%) 45 (53.6%) 52 (34%) .013 36 (35%) 88 (40%) 69 (27.9%) .022 #> Radial 28 (56%) 39 (46.4%) 101 (66%) 67 (65%) 132 (60%) 178 (72.1%) #> EF Mean ± SD 54.8 ± 9.1 52.3 ± 10.9 59.4 ± 8.8 <.001 55.1 ± 9.4 52.4 ± 8.9 59.1 ± 8.7 <.001 #> height Mean ± SD 154.2 ± 5.1 155.7 ± 5.4 152.6 ± 6.7 .002 167.5 ± 5.7 168.7 ± 6.0 167.3 ± 6.4 .055 #> weight Mean ± SD 57.2 ± 10.3 57.4 ± 9.0 57.1 ± 9.1 .978 67.5 ± 8.4 68.8 ± 10.9 69.0 ± 10.6 .479 #> BMI Mean ± SD 24.1 ± 4.3 23.6 ± 3.2 24.5 ± 3.5 .215 24.1 ± 2.6 24.1 ± 3.4 24.6 ± 3.4 .205 #> obesity No 35 (70%) 60 (71.4%) 99 (64.7%) .528 71 (68.9%) 149 (67.7%) 153 (61.9%) .301 #> Yes 15 (30%) 24 (28.6%) 54 (35.3%) 32 (31.1%) 71 (32.3%) 94 (38.1%) #> TC Mean ± SD 196.3 ± 52.7 180.7 ± 45.7 191.1 ± 53.1 .192 192.6 ± 54.3 184.1 ± 42.6 178.7 ± 44.6 .036 #> LDLC Mean ± SD 127.7 ± 39.5 111.0 ± 40.0 118.3 ± 41.8 .088 125.4 ± 47.1 118.9 ± 39.1 109.5 ± 39.2 .002 #> HDLC Mean ± SD 40.1 ± 13.8 39.5 ± 11.2 38.5 ± 10.8 .627 38.4 ± 10.9 38.1 ± 10.9 37.4 ± 10.9 .655 #> TG Mean ± SD 112.5 ± 51.1 112.3 ± 87.2 126.3 ± 76.0 .316 138.0 ± 100.2 104.3 ± 65.5 144.3 ± 114.2 <.001 #> DM No 25 (50%) 54 (64.3%) 94 (61.4%) .240 71 (68.9%) 154 (70%) 155 (62.8%) .219 #> Yes 25 (50%) 30 (35.7%) 59 (38.6%) 32 (31.1%) 66 (30%) 92 (37.2%) #> HBP No 19 (38%) 28 (33.3%) 36 (23.5%) .084 43 (41.7%) 122 (55.5%) 108 (43.7%) .016 #> Yes 31 (62%) 56 (66.7%) 117 (76.5%) 60 (58.3%) 98 (44.5%) 139 (56.3%) #> smoking Ex-smoker 8 (16%) 13 (15.5%) 28 (18.3%) .184 34 (33%) 53 (24.1%) 68 (27.5%) .002 #> Never 37 (74%) 57 (67.9%) 115 (75.2%) 13 (12.6%) 40 (18.2%) 70 (28.3%) #> Smoker 5 (10%) 14 (16.7%) 10 (6.5%) 56 (54.4%) 127 (57.7%) 109 (44.1%) #> ————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— gaze(Dx+sex~cardiogenicShock,data=acs,show.p=TRUE) %>% myft()

Dx (N)

NSTEMI (N=153)

STEMI (N=304)

Unstable Angina (N=400)

name

levels

Female (N=50)

Male (N=103)

p

Female (N=84)

Male (N=220)

p

Female (N=153)

Male (N=247)

p

cardiogenicShock

No

49 (98%)

100 (97.1%)

1.000

73 (86.9%)

183 (83.2%)

.535

153 (100%)

247 (100%)

1.000

Yes

1 (2%)

3 (2.9%)

11 (13.1%)

37 (16.8%)

0 (0%)

0 (0%)

gaze(Dx+sex+HBP~cardiogenicShock,data=acs,show.p=TRUE) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> Dx NSTEMI NSTEMI STEMI STEMI Unstable Angina Unstable Angina #> sex Female Male Female Male Female Male #> (N) (N=50) (N=103) (N=84) (N=220) (N=153) (N=247) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> Dependent:HBP levels No Yes p No Yes p No Yes p No Yes p No Yes p No Yes p #> (N) (N=19) (N=31) (N=43) (N=60) (N=28) (N=56) (N=122) (N=98) (N=36) (N=117) (N=108) (N=139) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> cardiogenicShock No 19 (100%) 30 (96.8%) 1.000 42 (97.7%) 58 (96.7%) 1.000 23 (82.1%) 50 (89.3%) .567 106 (86.9%) 77 (78.6%) .145 36 (100%) 117 (100%) 1.000 108 (100%) 139 (100%) 1.000 #> Yes 0 (0%) 1 (3.2%) 1 (2.3%) 2 (3.3%) 5 (17.9%) 6 (10.7%) 16 (13.1%) 21 (21.4%) 0 (0%) 0 (0%) 0 (0%) 0 (0%) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— gaze(~mpg+cyl,data=mtcars) #> ————————————————————————————— #> name levels stats #> ————————————————————————————— #> mpg Mean ± SD 20.1 ± 6.0 #> cyl Mean ± SD 6.2 ± 1.8 #> ————————————————————————————— gaze(~.,data=mtcars) #> ———————————————————————————————— #> name levels stats #> ———————————————————————————————— #> mpg Mean ± SD 20.1 ± 6.0 #> cyl Mean ± SD 6.2 ± 1.8 #> disp Mean ± SD 230.7 ± 123.9 #> hp Mean ± SD 146.7 ± 68.6 #> drat Mean ± SD 3.6 ± 0.5 #> wt Mean ± SD 3.2 ± 1.0 #> qsec Mean ± SD 17.8 ± 1.8 #> vs Mean ± SD 0.4 ± 0.5 #> am Mean ± SD 0.4 ± 0.5 #> gear Mean ± SD 3.7 ± 0.7 #> carb Mean ± SD 2.8 ± 1.6 #> ———————————————————————————————— gaze(cyl~.,data=mtcars,show.p=TRUE) #> ——————————————————————————————————————————————————————————————————————————— #> Dependent:cyl levels 4 6 8 p #> (N) (N=11) (N=7) (N=14) #> ——————————————————————————————————————————————————————————————————————————— #> mpg Mean ± SD 26.7 ± 4.5 19.7 ± 1.5 15.1 ± 2.6 <.001 #> disp Mean ± SD 105.1 ± 26.9 183.3 ± 41.6 353.1 ± 67.8 <.001 #> hp Mean ± SD 82.6 ± 20.9 122.3 ± 24.3 209.2 ± 51.0 <.001 #> drat Mean ± SD 4.1 ± 0.4 3.6 ± 0.5 3.2 ± 0.4 <.001 #> wt Mean ± SD 2.3 ± 0.6 3.1 ± 0.4 4.0 ± 0.8 <.001 #> qsec Mean ± SD 19.1 ± 1.7 18.0 ± 1.7 16.8 ± 1.2 .002 #> vs Mean ± SD 0.9 ± 0.3 0.6 ± 0.5 0.0 ± 0.0 <.001 #> am Mean ± SD 0.7 ± 0.5 0.4 ± 0.5 0.1 ± 0.4 .010 #> gear Mean ± SD 4.1 ± 0.5 3.9 ± 0.7 3.3 ± 0.7 .015 #> carb Mean ± SD 1.5 ± 0.5 3.4 ± 1.8 3.5 ± 1.6 .003 #> ——————————————————————————————————————————————————————————————————————————— gaze(hp~.,data=mtcars) #> ————————————————————————————————————————————————————— #> Dependent:hp levels unit value #> ————————————————————————————————————————————————————— #> mpg [10.4,33.9] Mean ± SD 20.1 ± 6.0 #> cyl [4,8] Mean ± SD 6.2 ± 1.8 #> disp [71.1,472] Mean ± SD 230.7 ± 123.9 #> drat [2.8,4.9] Mean ± SD 3.6 ± 0.5 #> wt [1.5,5.4] Mean ± SD 3.2 ± 1.0 #> qsec [14.5,22.9] Mean ± SD 17.8 ± 1.8 #> vs [0,1] Mean ± SD 0.4 ± 0.5 #> am [0,1] Mean ± SD 0.4 ± 0.5 #> gear [3,5] Mean ± SD 3.7 ± 0.7 #> carb [1,8] Mean ± SD 2.8 ± 1.6 #> ————————————————————————————————————————————————————— gaze(cyl+am~.,data=mtcars) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> cyl (N) 4 (N=11) 6 (N=7) 8 (N=14) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> Dependent:am levels 0 1 p 0 1 p 0 1 p #> (N) (N=3) (N=8) (N=4) (N=3) (N=12) (N=2) #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— #> mpg Mean ± SD 22.9 ± 1.5 28.1 ± 4.5 .089 19.1 ± 1.6 20.6 ± 0.8 .221 15.1 ± 2.8 15.4 ± 0.6 .866 #> disp Mean ± SD 135.9 ± 14.0 93.6 ± 20.5 .010 204.6 ± 44.7 155.0 ± 8.7 .124 357.6 ± 71.8 326.0 ± 35.4 .563 #> hp Mean ± SD 84.7 ± 19.7 81.9 ± 22.7 .856 115.2 ± 9.2 131.7 ± 37.5 .530 194.2 ± 33.4 299.5 ± 50.2 .002 #> drat Mean ± SD 3.8 ± 0.1 4.2 ± 0.4 .094 3.4 ± 0.6 3.8 ± 0.2 .330 3.1 ± 0.2 3.9 ± 0.5 .002 #> wt Mean ± SD 2.9 ± 0.4 2.0 ± 0.4 .010 3.4 ± 0.1 2.8 ± 0.1 .001 4.1 ± 0.8 3.4 ± 0.3 .218 #> qsec Mean ± SD 21.0 ± 1.7 18.4 ± 1.1 .017 19.2 ± 0.8 16.3 ± 0.8 .005 17.1 ± 0.8 14.6 ± 0.1 <.001 #> vs Mean ± SD 1.0 ± 0.0 0.9 ± 0.4 .351 1.0 ± 0.0 0.0 ± 0.0 0.0 ± 0.0 0.0 ± 0.0 #> gear Mean ± SD 3.7 ± 0.6 4.2 ± 0.5 .113 3.5 ± 0.6 4.3 ± 0.6 .117 3.0 ± 0.0 5.0 ± 0.0 #> carb Mean ± SD 1.7 ± 0.6 1.5 ± 0.5 .662 2.5 ± 1.7 4.7 ± 1.2 .122 3.1 ± 0.9 6.0 ± 2.8 .379 #> ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————— # } library(survival) x=coxph(Surv(time,status) ~rx,data=anderson1) gaze(x) #> ——————————————————————————————————————————————————————————————————— #> coef se(coef) z Pr(>|z|) HR lower upper #> ——————————————————————————————————————————————————————————————————— #> rxControl 1.572 0.412 3.812 <.001 4.817 2.147 10.809 #> ——————————————————————————————————————————————————————————————————— #> n=42, events=30, Likelihood ratio test=16.35 on 1 df (p<.001) x=coxph(Surv(time,status) ~rx*logWBC,data=anderson1) gaze(x) #> —————————————————————————————————————————————————————————————————————————————— #> coef se(coef) z Pr(>|z|) HR lower upper #> —————————————————————————————————————————————————————————————————————————————— #> rxControl 2.375 1.705 1.393 .164 10.750 0.380 304.162 #> logWBC 1.872 0.451 4.148 <.001 6.504 2.685 15.755 #> rxControl:logWBC -0.318 0.526 -0.604 .546 0.728 0.260 2.040 #> —————————————————————————————————————————————————————————————————————————————— #> n=42, events=30, Likelihood ratio test=47.07 on 3 df (p<.001) library(survival) x=survreg(Surv(time, status) ~ rx, data=anderson,dist="exponential") gaze(x) #> —————————————————————————————————————————————————————————————————————————————————————————————— #> Value Std. Error z p ETR LB UB HR lower upper #> —————————————————————————————————————————————————————————————————————————————————————————————— #> (Intercept) 3.686 0.333 11.058 <.001 39.889 20.755 76.663 0.025 0.013 0.048 #> rx -1.527 0.398 -3.832 <.001 0.217 0.100 0.474 4.603 2.108 10.049 #> —————————————————————————————————————————————————————————————————————————————————————————————— #> Exponential distribution #> Loglik(model)= -108.5 Loglik(intercept only)= -116.8 #> Chisq= 16.49 on 1 degrees of freedom, p= 4.9e-05 #> n= 42 #> x=survreg(Surv(time, status) ~ ph.ecog + age + sex, lung) gaze(x) #> ————————————————————————————————————————————————————————————————————————————————————————————————— #> Value Std. Error z p ETR LB UB HR lower upper #> ————————————————————————————————————————————————————————————————————————————————————————————————— #> (Intercept) 6.273 0.454 13.831 <.001 530.296 217.988 1290.044 0.000 0.000 0.001 #> ph.ecog -0.340 0.083 -4.069 <.001 0.712 0.605 0.839 1.591 1.272 1.990 #> age -0.007 0.007 -1.105 .269 0.993 0.979 1.006 1.010 0.992 1.029 #> sex 0.401 0.124 3.242 .001 1.493 1.172 1.903 0.578 0.415 0.805 #> Log(scale) -0.313 0.061 -5.105 <.001 0.731 1.535 #> ————————————————————————————————————————————————————————————————————————————————————————————————— #> Weibull distribution #> Loglik(model)= -1132.4 Loglik(intercept only)= -1147.4 #> Chisq= 29.98 on 3 degrees of freedom, p= 1.39e-06 #> n=227 (1 observation deleted due to missingness) #> data(cancer,package="survival") fit=glm(status~rx+sex+age+obstruct+nodes,data=colon,family="binomial") gaze(fit) #> ——————————————————————————————————————————————————————————————————————————— #> Estimate Std. Error z value Pr(>|z|) OR lower upper #> ——————————————————————————————————————————————————————————————————————————— #> (Intercept) -0.641 0.285 -2.247 .025 0.527 0.301 0.921 #> rxLev -0.067 0.119 -0.560 .576 0.936 0.741 1.181 #> rxLev+5FU -0.627 0.122 -5.153 <.001 0.534 0.421 0.678 #> sex -0.054 0.099 -0.541 .588 0.948 0.781 1.151 #> age 0.002 0.004 0.550 .583 1.002 0.994 1.011 #> obstruct 0.296 0.125 2.370 .018 1.344 1.052 1.716 #> nodes 0.191 0.018 10.457 <.001 1.210 1.168 1.255 #> ——————————————————————————————————————————————————————————————————————————— #> Null deviance: 2525.4(df: 1821), Residual deviance: 2343.6(df: 1815) AIC:2357.6 #> (36 observations deleted due to missingness) #> Number of Fisher Scoring iterations: 4 fit=lm(mpg~wt*hp+am+I(wt^2),data=mtcars) gaze(fit) #> ——————————————————————————————————————————————————————————————————————— #> Estimate Std. Error t value Pr(>|t|) lower upper #> ——————————————————————————————————————————————————————————————————————— #> (Intercept) 49.262 5.523 8.920 <.001 37.910 60.614 #> wt -7.674 3.341 -2.297 .030 -14.542 -0.807 #> hp -0.127 0.059 -2.164 .040 -0.248 -0.006 #> am 0.167 1.385 0.120 .905 -2.681 3.015 #> I(wt^2) -0.108 0.712 -0.152 .880 -1.572 1.356 #> wt:hp 0.030 0.017 1.705 .100 -0.006 0.066 #> ——————————————————————————————————————————————————————————————————————— #> Residual SE: 2.233 on 26 DF, Multiple R^2: 0.8849, Adjusted R^2: 0.8628 #> F-statistic: 39.98 on 5 and 26 DF, p-value: 2.124e-11 data(melanoma,package="boot") melanoma$status_crr=ifelse(melanoma$status==1,1,ifelse(melanoma$status==2,0,2)) fit=crrFormula(time+status_crr~age+sex+thickness+ulcer,data=melanoma) gaze(fit) #> ——————————————————————————————————————————————————————————————— #> coef se(coef) z p HR lower upper #> ——————————————————————————————————————————————————————————————— #> age 0.006 0.009 0.638 .520 1.006 0.988 1.024 #> sex 0.405 0.276 1.470 .140 1.499 0.874 2.573 #> thickness 0.090 0.038 2.346 .019 1.094 1.015 1.180 #> ulcer 1.129 0.303 3.719 <.001 3.091 1.706 5.603 #> ———————————————————————————————————————————————————————————————