I have a time series data for neighbourhood and crime rate per year for about 300 observations (neighbourhoods) (example below).

```
Neighbourhood year rate
5001 2009 43.5
5001 2010 34.7
5001 2011 40.8
5002 2009 28.9
5002 2010 33.8
5002 2011 24.4
. . .
. . .
```

I applied spline regression by group (for each neighbourhood) to plot their curves over time and ended up with 6 coefficients for each observations:

```
CensusTract (Intercept) bs(rep$year, 4)1 bs(rep$year, 4)2 bs(rep$year, 4)3 bs(rep$year, 4)4
[1,] 5001 36.14530 17.502968 7.3978890 13.9133907 5.70852015
[2,] 5002 64.62910 19.849905 -16.5157307 -10.7476461 -20.38942429
[3,] 5003 60.62435 30.698498 3.8573157 10.3343372 2.42415531
[4,] 5004 117.41211 20.563574 -56.1543275 -42.1466082 -70.43030322
[5,] 5005 65.11512 6.628532 -0.1630097 -13.9509698 -32.82296251
[6,] 5006 71.56126 11.982026 -21.9261412 -20.3717788 -39.88968841
[7,] 5007 51.69142 13.757720 -0.9959946 17.3522501 1.03887025
```

**I run k-mean clustering to cluster spline coefficients and ended up with 3 clusters**

```
Cluster means:
CensusTract (Intercept) bs(rep$quarter, 6)1 bs(rep$quarter, 6)2 bs(rep$quarter, 6)3 bs(rep$quarter, 6)4
1 5046.074 45.52149 23.9330434 7.38961 7.318444 -0.938248
2 5033.760 63.23948 12.8276297 -14.20825 -15.074422 -23.002576
3 5031.500 113.91280 -0.8379427 -68.82647 -56.071503 -80.903656
```

**My question is:**

**How can I plot these coefficients to see the 3 curves of these clusters?**