README.md
In dantonnoriega/marketloanr: Parse, extract, and simulate market loan data.
marketloanr
The goal of marketloanr is to ...
Installation
You can install marketloanr from github with:
# install.packages("devtools")
devtools::install_github("dantonnoriega/marketloanr")
Example
This is a basic example which shows you how to solve a common problem:
# load packages
library(marketloanr)
library(tidyverse)
#> Loading tidyverse: ggplot2
#> Loading tidyverse: tibble
#> Loading tidyverse: tidyr
#> Loading tidyverse: readr
#> Loading tidyverse: purrr
#> Loading tidyverse: dplyr
#> Conflicts with tidy packages ----------------------------------------------
#> filter(): dplyr, stats
#> lag(): dplyr, stats
# load the data
dat <- get_loan_data()
# find vector of rates given score `s`
s = 600
rates <- get_rates(s, as_vec = TRUE) # can get just vector of rates
rates_df <- get_rates(s, as_vec = FALSE) # or get the filtered subset
rates
#> [1] 13.51 16.01 16.01 15.05 15.83 18.58 15.83 18.58 15.83 18.58 15.83
#> [12] 18.58 15.83 11.79 12.99 13.99 14.29 14.49 14.79 14.79 14.99 15.49
#> [23] 15.79 15.49 15.79 11.99 12.99 12.09 13.09 13.19 13.29 11.99 12.99
#> [34] 5.29 5.79 5.89 5.29 6.29 5.79 7.09 6.49 6.49 5.29 5.79
#> [45] 13.50 13.85 14.25 14.25 13.50 13.85 14.25 14.25 14.25 14.65 15.15
#> [56] 15.40 15.90 15.90 13.50 13.85 14.25 14.25 12.09 13.29 11.38 13.38
#> [67] 13.38 13.38 17.88 14.68 14.78 11.38 13.38 11.38 14.74 14.84 15.99
#> [78] 16.64 16.34 17.34 15.69 16.29 17.04 17.09
rates_df
#> Source: local data frame [84 x 12]
#> Groups: <by row>
#>
#> # A tibble: 84 x 12
#> name auto_status program LTV_index LTV_max months_max
#> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 Volkswagen Credit New standard MSRP 100 60
#> 2 Volkswagen Credit New standard MSRP 100 66
#> 3 Volkswagen Credit New standard MSRP 100 72
#> 4 Volkswagen Credit New balloon MSRP 90 48
#> 5 Volkswagen Credit Used standard KRBB 90 60
#> 6 Volkswagen Credit Used standard KRBB 90 72
#> 7 Volkswagen Credit Used standard KRBB 90 60
#> 8 Volkswagen Credit Used standard KRBB 90 72
#> 9 Volkswagen Credit Used standard KRBB 90 60
#> 10 Volkswagen Credit Used standard KRBB 90 72
#> 11 Volkswagen Credit Used standard KRBB 90 60
#> 12 Volkswagen Credit Used standard KRBB 90 72
#> 13 Volkswagen Credit Used standard KRBB 90 60
#> 14 Wells Fargo Dealer Services New standard DLRC 105 60
#> 15 Wells Fargo Dealer Services New standard DLRC 105 72
#> 16 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 17 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 18 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 19 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 20 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 21 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 22 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 23 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 24 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 25 Wells Fargo Dealer Services CA South Used standard NADAw 105 48
#> 26 BMW Financial Services New standard MSRP 95 65
#> 27 BMW Financial Services New standard MSRP 95 72
#> 28 BMW Financial Services Used standard NADAr 90 65
#> 29 BMW Financial Services Used standard NADAr 90 72
#> 30 BMW Financial Services Used standard NADAr 90 60
#> 31 BMW Financial Services Used standard NADAr 90 60
#> 32 BMW Financial Services Used standard NADAr 95 65
#> 33 BMW Financial Services Used standard NADAr 95 72
#> 34 Ford Motor Credit New standard DLRC 130 60
#> 35 Ford Motor Credit New standard DLRC 130 72
#> 36 Ford Motor Credit New standard DLRC 130 75
#> 37 Ford Motor Credit Used standard NADAw 130 60
#> 38 Ford Motor Credit Used standard NADAw 130 72
#> 39 Ford Motor Credit Used standard NADAw 130 60
#> 40 Ford Motor Credit Used standard NADAw 130 72
#> 41 Ford Motor Credit Used standard NADAw 130 60
#> 42 Ford Motor Credit Used standard NADAw 130 48
#> 43 Ford Motor Credit Used certified_used NADAw 130 60
#> 44 Ford Motor Credit Used certified_used NADAw 130 72
#> 45 Toyota Motor Credit New standard DLRC 100 60
#> 46 Toyota Motor Credit New standard DLRC 100 66
#> 47 Toyota Motor Credit New standard DLRC 100 72
#> 48 Toyota Motor Credit New standard DLRC 100 75
#> 49 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 50 Toyota Motor Credit CA South Used standard KWBB 100 66
#> 51 Toyota Motor Credit CA South Used standard KWBB 100 72
#> 52 Toyota Motor Credit CA South Used standard KWBB 100 75
#> 53 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 54 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 55 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 56 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 57 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 58 Toyota Motor Credit CA South Used standard KWBB 100 48
#> 59 Toyota Motor Credit CA South Used certified_used KWBB 100 60
#> 60 Toyota Motor Credit CA South Used certified_used KWBB 100 66
#> 61 Toyota Motor Credit CA South Used certified_used KWBB 100 72
#> 62 Toyota Motor Credit CA South Used certified_used KWBB 100 75
#> 63 Hyundai Finance New standard DLRC 100 60
#> 64 Hyundai Finance New standard DLRC 100 72
#> 65 Nissan Motor Acceptance Corporation New standard DLRC 115 63
#> 66 Nissan Motor Acceptance Corporation New standard DLRC 115 72
#> 67 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 68 Nissan Motor Acceptance Corporation Used standard KWBB 110 60
#> 69 Nissan Motor Acceptance Corporation Used standard KWBB 115 72
#> 70 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 71 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 72 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 63
#> 73 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 72
#> 74 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 48
#> 75 Honda Financial Services New standard DLRC 100 48
#> 76 Honda Financial Services New standard DLRC 100 60
#> 77 Honda Financial Services New standard DLRC 100 66
#> 78 Honda Financial Services New standard DLRC 100 72
#> 79 Honda Financial Services Used standard BBC 80 60
#> 80 Honda Financial Services Used standard BBC 80 48
#> 81 Honda Financial Services Used certified_used BBC 85 60
#> 82 Honda Financial Services Used certified_used BBC 85 66
#> 83 Honda Financial Services Used certified_used BBC 85 72
#> 84 Honda Financial Services Used certified_used BBC 85 60
#> # ... with 6 more variables: bank_fee <dbl>, markup <dbl>,
#> # rate_name <chr>, rate <dbl>, rng_min <dbl>, rng_max <dbl>
Current Issues
- [ ] Do not understand what a
rng_min or rng_max value of 1 means. Typo? Error in cleaning?
dantonnoriega/marketloanr documentation built on May 28, 2019, 7:51 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
marketloanr
The goal of marketloanr is to ...
Installation
You can install marketloanr from github with:
# install.packages("devtools")
devtools::install_github("dantonnoriega/marketloanr")
Example
This is a basic example which shows you how to solve a common problem:
# load packages
library(marketloanr)
library(tidyverse)
#> Loading tidyverse: ggplot2
#> Loading tidyverse: tibble
#> Loading tidyverse: tidyr
#> Loading tidyverse: readr
#> Loading tidyverse: purrr
#> Loading tidyverse: dplyr
#> Conflicts with tidy packages ----------------------------------------------
#> filter(): dplyr, stats
#> lag(): dplyr, stats
# load the data
dat <- get_loan_data()
# find vector of rates given score `s`
s = 600
rates <- get_rates(s, as_vec = TRUE) # can get just vector of rates
rates_df <- get_rates(s, as_vec = FALSE) # or get the filtered subset
rates
#> [1] 13.51 16.01 16.01 15.05 15.83 18.58 15.83 18.58 15.83 18.58 15.83
#> [12] 18.58 15.83 11.79 12.99 13.99 14.29 14.49 14.79 14.79 14.99 15.49
#> [23] 15.79 15.49 15.79 11.99 12.99 12.09 13.09 13.19 13.29 11.99 12.99
#> [34] 5.29 5.79 5.89 5.29 6.29 5.79 7.09 6.49 6.49 5.29 5.79
#> [45] 13.50 13.85 14.25 14.25 13.50 13.85 14.25 14.25 14.25 14.65 15.15
#> [56] 15.40 15.90 15.90 13.50 13.85 14.25 14.25 12.09 13.29 11.38 13.38
#> [67] 13.38 13.38 17.88 14.68 14.78 11.38 13.38 11.38 14.74 14.84 15.99
#> [78] 16.64 16.34 17.34 15.69 16.29 17.04 17.09
rates_df
#> Source: local data frame [84 x 12]
#> Groups: <by row>
#>
#> # A tibble: 84 x 12
#> name auto_status program LTV_index LTV_max months_max
#> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 Volkswagen Credit New standard MSRP 100 60
#> 2 Volkswagen Credit New standard MSRP 100 66
#> 3 Volkswagen Credit New standard MSRP 100 72
#> 4 Volkswagen Credit New balloon MSRP 90 48
#> 5 Volkswagen Credit Used standard KRBB 90 60
#> 6 Volkswagen Credit Used standard KRBB 90 72
#> 7 Volkswagen Credit Used standard KRBB 90 60
#> 8 Volkswagen Credit Used standard KRBB 90 72
#> 9 Volkswagen Credit Used standard KRBB 90 60
#> 10 Volkswagen Credit Used standard KRBB 90 72
#> 11 Volkswagen Credit Used standard KRBB 90 60
#> 12 Volkswagen Credit Used standard KRBB 90 72
#> 13 Volkswagen Credit Used standard KRBB 90 60
#> 14 Wells Fargo Dealer Services New standard DLRC 105 60
#> 15 Wells Fargo Dealer Services New standard DLRC 105 72
#> 16 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 17 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 18 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 19 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 20 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 21 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 22 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 23 Wells Fargo Dealer Services CA South Used standard NADAw 105 72
#> 24 Wells Fargo Dealer Services CA South Used standard NADAw 105 60
#> 25 Wells Fargo Dealer Services CA South Used standard NADAw 105 48
#> 26 BMW Financial Services New standard MSRP 95 65
#> 27 BMW Financial Services New standard MSRP 95 72
#> 28 BMW Financial Services Used standard NADAr 90 65
#> 29 BMW Financial Services Used standard NADAr 90 72
#> 30 BMW Financial Services Used standard NADAr 90 60
#> 31 BMW Financial Services Used standard NADAr 90 60
#> 32 BMW Financial Services Used standard NADAr 95 65
#> 33 BMW Financial Services Used standard NADAr 95 72
#> 34 Ford Motor Credit New standard DLRC 130 60
#> 35 Ford Motor Credit New standard DLRC 130 72
#> 36 Ford Motor Credit New standard DLRC 130 75
#> 37 Ford Motor Credit Used standard NADAw 130 60
#> 38 Ford Motor Credit Used standard NADAw 130 72
#> 39 Ford Motor Credit Used standard NADAw 130 60
#> 40 Ford Motor Credit Used standard NADAw 130 72
#> 41 Ford Motor Credit Used standard NADAw 130 60
#> 42 Ford Motor Credit Used standard NADAw 130 48
#> 43 Ford Motor Credit Used certified_used NADAw 130 60
#> 44 Ford Motor Credit Used certified_used NADAw 130 72
#> 45 Toyota Motor Credit New standard DLRC 100 60
#> 46 Toyota Motor Credit New standard DLRC 100 66
#> 47 Toyota Motor Credit New standard DLRC 100 72
#> 48 Toyota Motor Credit New standard DLRC 100 75
#> 49 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 50 Toyota Motor Credit CA South Used standard KWBB 100 66
#> 51 Toyota Motor Credit CA South Used standard KWBB 100 72
#> 52 Toyota Motor Credit CA South Used standard KWBB 100 75
#> 53 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 54 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 55 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 56 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 57 Toyota Motor Credit CA South Used standard KWBB 100 60
#> 58 Toyota Motor Credit CA South Used standard KWBB 100 48
#> 59 Toyota Motor Credit CA South Used certified_used KWBB 100 60
#> 60 Toyota Motor Credit CA South Used certified_used KWBB 100 66
#> 61 Toyota Motor Credit CA South Used certified_used KWBB 100 72
#> 62 Toyota Motor Credit CA South Used certified_used KWBB 100 75
#> 63 Hyundai Finance New standard DLRC 100 60
#> 64 Hyundai Finance New standard DLRC 100 72
#> 65 Nissan Motor Acceptance Corporation New standard DLRC 115 63
#> 66 Nissan Motor Acceptance Corporation New standard DLRC 115 72
#> 67 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 68 Nissan Motor Acceptance Corporation Used standard KWBB 110 60
#> 69 Nissan Motor Acceptance Corporation Used standard KWBB 115 72
#> 70 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 71 Nissan Motor Acceptance Corporation Used standard KWBB 110 48
#> 72 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 63
#> 73 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 72
#> 74 Nissan Motor Acceptance Corporation Used certified_used KWBB 115 48
#> 75 Honda Financial Services New standard DLRC 100 48
#> 76 Honda Financial Services New standard DLRC 100 60
#> 77 Honda Financial Services New standard DLRC 100 66
#> 78 Honda Financial Services New standard DLRC 100 72
#> 79 Honda Financial Services Used standard BBC 80 60
#> 80 Honda Financial Services Used standard BBC 80 48
#> 81 Honda Financial Services Used certified_used BBC 85 60
#> 82 Honda Financial Services Used certified_used BBC 85 66
#> 83 Honda Financial Services Used certified_used BBC 85 72
#> 84 Honda Financial Services Used certified_used BBC 85 60
#> # ... with 6 more variables: bank_fee <dbl>, markup <dbl>,
#> # rate_name <chr>, rate <dbl>, rng_min <dbl>, rng_max <dbl>
Current Issues
- [ ] Do not understand what a
rng_minorrng_maxvalue of1means. Typo? Error in cleaning?
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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