1 [-4.1579,-1.7641) Sample Logodds 0.4975000
2 [-1.7641,-1.4066) Sample Logodds 0.4850000
3 [-1.4066,-1.1812) Sample Logodds 0.5100000
4 [-1.1812,-1.0069) Sample Logodds 0.5150000
5 [-1.0069,-0.8502) Sample Logodds 0.5175000
6 [-0.8502,-0.7062) Sample Logodds 0.4675000
7 [-0.7062,-0.5819) Sample Logodds 0.5375000
8 [-0.5819,-0.4626) Sample Logodds 0.5300000
9 [-0.4626,-0.3482) Sample Logodds 0.5250000
10 [-0.3482,-0.2392) Sample Logodds 0.5000000
11 [-0.2392,-0.1340) Sample Logodds 0.4800000
12 [-0.1340,-0.0411) Sample Logodds 0.4375000
13 [-0.0411, 0.0498) Sample Logodds 0.5225000
14 [ 0.0498, 0.1448) Sample Logodds 0.4825000
15 [ 0.1448, 0.2440) Sample Logodds 0.4775000
16 [ 0.2440, 0.3548) Sample Logodds 0.4600000
17 [ 0.3548, 0.4671) Sample Logodds 0.5275000
18 [ 0.4671, 0.5742) Sample Logodds 0.5200000
19 [ 0.5742, 0.7049) Sample Logodds 0.5000000
20 [ 0.7049, 0.8386) Sample Logodds 0.5000000
21 [ 0.8386, 0.9975) Sample Logodds 0.4850000
22 [ 0.9975, 1.1776) Sample Logodds 0.5050000
23 [ 1.1776, 1.4058) Sample Logodds 0.4875000
24 [ 1.4058, 1.7387) Sample Logodds 0.4950000
25 [ 1.7387, 3.8853] Sample Logodds 0.5000000
26 [-4.1579,-1.7641) Lower CI 0.4486816
27 [-1.7641,-1.4066) Lower CI 0.4363220
28 [-1.4066,-1.1812) Lower CI 0.4610714
29 [-1.1812,-1.0069) Lower CI 0.4660357
30 [-1.0069,-0.8502) Lower CI 0.4685197
31 [-0.8502,-0.7062) Lower CI 0.4190693
32 [-0.7062,-0.5819) Lower CI 0.4884351
33 [-0.5819,-0.4626) Lower CI 0.4809578
34 [-0.4626,-0.3482) Lower CI 0.4759789
35 [-0.3482,-0.2392) Lower CI 0.4511572
36 [-0.2392,-0.1340) Lower CI 0.4313866
37 [-0.1340,-0.0411) Lower CI 0.3896318
38 [-0.0411, 0.0498) Lower CI 0.4734913
39 [ 0.0498, 0.1448) Lower CI 0.4338537
40 [ 0.1448, 0.2440) Lower CI 0.4289207
41 [ 0.2440, 0.3548) Lower CI 0.4116934
42 [ 0.3548, 0.4671) Lower CI 0.4784677
43 [ 0.4671, 0.5742) Lower CI 0.4710049
44 [ 0.5742, 0.7049) Lower CI 0.4511572
45 [ 0.7049, 0.8386) Lower CI 0.4511572
46 [ 0.8386, 0.9975) Lower CI 0.4363220
47 [ 0.9975, 1.1776) Lower CI 0.4561119
48 [ 1.1776, 1.4058) Lower CI 0.4387915
49 [ 1.4058, 1.7387) Lower CI 0.4462073
50 [ 1.7387, 3.8853] Lower CI 0.4511572
51 [-4.1579,-1.7641) Upper CI 0.5463661
52 [-1.7641,-1.4066) Upper CI 0.5339643
53 [-1.4066,-1.1812) Upper CI 0.5587378
54 [-1.1812,-1.0069) Upper CI 0.5636780
55 [-1.0069,-0.8502) Upper CI 0.5661463
56 [-0.8502,-0.7062) Upper CI 0.5165510
57 [-0.7062,-0.5819) Upper CI 0.5858492
58 [-0.5819,-0.4626) Upper CI 0.5784697
59 [-0.4626,-0.3482) Upper CI 0.5735440
60 [-0.3482,-0.2392) Upper CI 0.5488428
61 [-0.2392,-0.1340) Upper CI 0.5289951
62 [-0.1340,-0.0411) Upper CI 0.4865611
63 [-0.0411, 0.0498) Upper CI 0.5710793
64 [ 0.0498, 0.1448) Upper CI 0.5314803
65 [ 0.1448, 0.2440) Upper CI 0.5265087
66 [ 0.2440, 0.3548) Upper CI 0.5090700
67 [ 0.3548, 0.4671) Upper CI 0.5760074
68 [ 0.4671, 0.5742) Upper CI 0.5686134
69 [ 0.5742, 0.7049) Upper CI 0.5488428
70 [ 0.7049, 0.8386) Upper CI 0.5488428
71 [ 0.8386, 0.9975) Upper CI 0.5339643
72 [ 0.9975, 1.1776) Upper CI 0.5537927
73 [ 1.1776, 1.4058) Upper CI 0.5364471
74 [ 1.4058, 1.7387) Upper CI 0.5438881
75 [ 1.7387, 3.8853] Upper CI 0.5488428
Basically I want to create the logodds plot with confidence interval. When I run the following command
ggplot(tempdf,aes(xvar1,value,colour=variable))+geom_line()
it gives me a blank plot
When I do
ggplot(tempdf,aes(as.numeric(xvar1),value,colour=variable))+geom_line()
I get the line plot but the intervals don't appear in x-axis (the mid point of the interval appears as it it is generated from the cut2() function of Hmisc)
when I do
ggplot(tempdf,aes(xvar1,value,colour=variable))+geom_point()
I get the point plots but I need the continuous lines connecting the points.
A less significant supplementary question is
Is there a way change the alignment x-axis values(I want the intervals to be perpendicular to x-axis so that the intervals donot overlap in text).
Thank you in advance.
Santosh Mishra