library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.4.0 ✔ purrr 1.0.1
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.2.1 ✔ stringr 1.5.0
## ✔ readr 2.1.3 ✔ forcats 0.5.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
library(janitor)
##
## Attaching package: 'janitor'
##
## The following objects are masked from 'package:stats':
##
## chisq.test, fisher.test
library(sjPlot)
## Learn more about sjPlot with 'browseVignettes("sjPlot")'.
players_stats <- read_csv("player_stats_attrs_s2.csv")
## New names:
## Rows: 355 Columns: 126
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," chr
## (13): ...1, batter_name, batter_team, pitcher_name, pitcher_team, field... dbl
## (112): pa, ab, hit, rbi, bb, k, 1b, 2b, 3b, hr, fc, dp, BA, OBP, SLG, OP... lgl
## (1): is_active
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## • `` -> `...1`
# Clean column names and calculate columns we'll want later
players_stats <- players_stats %>%
clean_names() %>%
select(-starts_with("hm_")) %>%
mutate(
# batting: walk rate and strikeout rate
bb_pa = bb / pa,
k_pa = k / pa,
# batting: rate of types of hit
x1b_h = x1b / hit,
x2b_h = x2b / hit,
x3b_h = x3b / hit,
hr_h = hr / hit,
xbh_h = (x2b + x3b) / hit,
# fielding: rate of hit types allowed per hits, or per BIP
# x1b_h_f= x1b_alwd / hits_alwd,
# x1b_bip_f= x1b_alwd / totl_fields,
# x2b_bip_f= x2b_alwd / totl_fields,
# x3b_bip_f= x3b_alwd / totl_fields,
adv_fields = advances / pa_fielded,
# fielder Manhattan distances from bases
home_dist = abs(location_x - 0) + abs(location_y - 0),
first_dist = abs(location_x - 2) + abs(location_y - 0),
second_dist = abs(location_x - 2) + abs(location_y - 2),
third_dist = abs(location_x - 0) + abs(location_y - 2),
fifth_dist = abs(location_x - 0) + abs(location_y - 4),
zeroth_dist = abs(location_x - 4) + abs(location_y - 0),
)
summary(lm (era ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = era ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4158 -0.7190 -0.0993 0.6076 3.6638
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.7049 0.3507 24.820 < 2e-16 ***
## control -2.1322 0.3614 -5.900 3.62e-08 ***
## stuff -2.7770 0.3435 -8.084 6.45e-13 ***
## guile -1.4378 0.3725 -3.860 0.000186 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.043 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.524, Adjusted R-squared: 0.5118
## F-statistic: 42.93 on 3 and 117 DF, p-value: < 2.2e-16
summary(lm (so9 ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = so9 ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.1327 -0.5575 -0.0360 0.5998 2.1223
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.9473 0.2972 6.551 1.60e-09 ***
## control 1.1947 0.3063 3.900 0.000161 ***
## stuff 4.9937 0.2911 17.152 < 2e-16 ***
## guile 2.5963 0.3157 8.223 3.09e-13 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8841 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.7833, Adjusted R-squared: 0.7778
## F-statistic: 141 on 3 and 117 DF, p-value: < 2.2e-16
summary(lm (bb9 ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = bb9 ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.25332 -0.48762 -0.07595 0.37931 2.34787
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.7435 0.2302 20.610 <2e-16 ***
## control -5.3139 0.2372 -22.405 <2e-16 ***
## stuff 0.4802 0.2254 2.130 0.0353 *
## guile -0.2774 0.2445 -1.135 0.2589
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6845 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.8165, Adjusted R-squared: 0.8118
## F-statistic: 173.5 on 3 and 117 DF, p-value: < 2.2e-16
summary(lm (h9 ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = h9 ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7858 -0.8526 -0.1129 0.6175 4.0456
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.4496 0.4279 31.428 < 2e-16 ***
## control -0.9516 0.4410 -2.158 0.032989 *
## stuff -3.8206 0.4192 -9.115 2.64e-15 ***
## guile -1.7309 0.4546 -3.808 0.000225 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.273 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.4928, Adjusted R-squared: 0.4798
## F-statistic: 37.89 on 3 and 117 DF, p-value: < 2.2e-16
summary(lm (hr9 ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = hr9 ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.78499 -0.21249 -0.04499 0.23443 0.91711
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.34381 0.11553 20.287 < 2e-16 ***
## control -0.09378 0.11905 -0.788 0.43244
## stuff -0.74634 0.11316 -6.595 1.29e-09 ***
## guile -0.47886 0.12271 -3.902 0.00016 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3436 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.3645, Adjusted R-squared: 0.3482
## F-statistic: 22.37 on 3 and 117 DF, p-value: 1.62e-11
summary(lm (babip ~ control + stuff + guile, data = players_stats))
##
## Call:
## lm(formula = babip ~ control + stuff + guile, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.074949 -0.016571 -0.002183 0.016591 0.067342
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.311750 0.008771 35.543 < 2e-16 ***
## control -0.009602 0.009038 -1.062 0.29026
## stuff -0.023954 0.008591 -2.788 0.00619 **
## guile -0.004795 0.009317 -0.515 0.60775
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.02609 on 117 degrees of freedom
## (234 observations deleted due to missingness)
## Multiple R-squared: 0.07673, Adjusted R-squared: 0.05305
## F-statistic: 3.241 on 3 and 117 DF, p-value: 0.02465
ggplot(players_stats, aes(stuff, babip)) +
geom_point()
## Warning: Removed 234 rows containing missing values (`geom_point()`).
![](data:image/png;base64,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)
s_ba1 <- summary(lm(ba ~ sight + thwack + ferocity + stealth, data = players_stats))
s_ba1
##
## Call:
## lm(formula = ba ~ sight + thwack + ferocity + stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.115705 -0.018932 -0.001313 0.016254 0.217690
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.115818 0.008097 14.304 < 2e-16 ***
## sight 0.032469 0.008198 3.961 9.98e-05 ***
## thwack 0.077683 0.008216 9.455 < 2e-16 ***
## ferocity 0.112717 0.008200 13.746 < 2e-16 ***
## stealth 0.039579 0.007870 5.029 9.95e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.0338 on 229 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.6521, Adjusted R-squared: 0.646
## F-statistic: 107.3 on 4 and 229 DF, p-value: < 2.2e-16
s_ba2 <- summary(lm(ba ~ sight + thwack + ferocity + control + hustle + stealth,
data = players_stats))
s_ba2
##
## Call:
## lm(formula = ba ~ sight + thwack + ferocity + control + hustle +
## stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.11091 -0.01784 -0.00089 0.01664 0.21113
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.118872 0.009014 13.187 < 2e-16 ***
## sight 0.032956 0.008105 4.066 6.59e-05 ***
## thwack 0.077836 0.008120 9.586 < 2e-16 ***
## ferocity 0.111562 0.008113 13.751 < 2e-16 ***
## control -0.018253 0.007175 -2.544 0.0116 *
## hustle 0.011946 0.007672 1.557 0.1208
## stealth 0.038042 0.007865 4.837 2.43e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.0334 on 227 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.6633, Adjusted R-squared: 0.6544
## F-statistic: 74.53 on 6 and 227 DF, p-value: < 2.2e-16
summary(lm(obp ~ sight + thwack + ferocity + stealth, data = players_stats))
##
## Call:
## lm(formula = obp ~ sight + thwack + ferocity + stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.131952 -0.017655 -0.001154 0.015910 0.195323
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.167010 0.007966 20.966 < 2e-16 ***
## sight 0.037142 0.008065 4.605 6.83e-06 ***
## thwack 0.056419 0.008083 6.980 3.15e-11 ***
## ferocity 0.104686 0.008067 12.977 < 2e-16 ***
## stealth 0.040436 0.007742 5.223 3.96e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.03326 on 229 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.6059, Adjusted R-squared: 0.599
## F-statistic: 88 on 4 and 229 DF, p-value: < 2.2e-16
summary(lm(slg ~ sight + thwack + ferocity + stealth, data = players_stats))
##
## Call:
## lm(formula = slg ~ sight + thwack + ferocity + stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.25690 -0.05107 -0.00685 0.04039 0.62843
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.09851 0.02013 4.895 1.86e-06 ***
## sight 0.07278 0.02038 3.572 0.000432 ***
## thwack 0.16790 0.02042 8.222 1.50e-14 ***
## ferocity 0.29977 0.02038 14.708 < 2e-16 ***
## stealth 0.21795 0.01956 11.141 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.08402 on 229 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.7012, Adjusted R-squared: 0.696
## F-statistic: 134.4 on 4 and 229 DF, p-value: < 2.2e-16
summary(lm(bb_pa ~ sight + thwack, data = players_stats))
##
## Call:
## lm(formula = bb_pa ~ sight + thwack, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.052823 -0.009067 -0.000894 0.008600 0.053601
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.059028 0.002939 20.085 < 2e-16 ***
## sight 0.008546 0.003671 2.328 0.0208 *
## thwack -0.023263 0.003605 -6.454 6.34e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.01524 on 231 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.1599, Adjusted R-squared: 0.1526
## F-statistic: 21.98 on 2 and 231 DF, p-value: 1.822e-09
summary(lm(k_pa ~ sight + thwack, data = players_stats))
##
## Call:
## lm(formula = k_pa ~ sight + thwack, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.16082 -0.02313 -0.00209 0.01874 0.31549
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.333760 0.008129 41.059 < 2e-16 ***
## sight -0.073341 0.010155 -7.222 7.35e-12 ***
## thwack -0.178307 0.009970 -17.885 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.04214 on 231 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.6404, Adjusted R-squared: 0.6373
## F-statistic: 205.7 on 2 and 231 DF, p-value: < 2.2e-16
summary(lm (hr_h ~ ferocity, data = players_stats))
##
## Call:
## lm(formula = hr_h ~ ferocity, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.19180 -0.02814 -0.00445 0.02517 0.32018
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.091880 0.007546 12.177 <2e-16 ***
## ferocity 0.110706 0.011772 9.404 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.04982 on 232 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.276, Adjusted R-squared: 0.2729
## F-statistic: 88.44 on 1 and 232 DF, p-value: < 2.2e-16
summary(lm (x3b_h ~ stealth, data = players_stats))
##
## Call:
## lm(formula = x3b_h ~ stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.11429 -0.01851 -0.00274 0.01558 0.15507
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.003854 0.004484 0.86 0.391
## stealth 0.115243 0.007883 14.62 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.0342 on 232 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.4795, Adjusted R-squared: 0.4773
## F-statistic: 213.7 on 1 and 232 DF, p-value: < 2.2e-16
summary(lm (x2b_h ~ stealth, data = players_stats))
##
## Call:
## lm(formula = x2b_h ~ stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.21002 -0.04314 -0.00012 0.04176 0.37623
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.198795 0.009342 21.28 <2e-16 ***
## stealth 0.301490 0.016425 18.36 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07127 on 232 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.5922, Adjusted R-squared: 0.5905
## F-statistic: 336.9 on 1 and 232 DF, p-value: < 2.2e-16
summary(lm (x1b_h ~ ferocity + stealth, data = players_stats))
##
## Call:
## lm(formula = x1b_h ~ ferocity + stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.29234 -0.04978 -0.00405 0.04612 0.31885
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.70166 0.01422 49.357 < 2e-16 ***
## ferocity -0.10450 0.01770 -5.904 1.26e-08 ***
## stealth -0.41608 0.01727 -24.097 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07492 on 231 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.7266, Adjusted R-squared: 0.7243
## F-statistic: 307 on 2 and 231 DF, p-value: < 2.2e-16
summary(lm (xbh_h ~ stealth, data = players_stats))
##
## Call:
## lm(formula = xbh_h ~ stealth, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.31631 -0.04476 -0.00328 0.03960 0.28901
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.202650 0.009462 21.42 <2e-16 ***
## stealth 0.416733 0.016635 25.05 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07218 on 232 degrees of freedom
## (121 observations deleted due to missingness)
## Multiple R-squared: 0.7301, Adjusted R-squared: 0.7289
## F-statistic: 627.6 on 1 and 232 DF, p-value: < 2.2e-16
ggplot(players_stats, aes(magnet, der)) +
geom_point()
## Warning: Removed 122 rows containing missing values (`geom_point()`).
![](data:image/png;base64,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)
summary(lm (pa_fielded ~ reach + magnet + reflex, data = players_stats))
##
## Call:
## lm(formula = pa_fielded ~ reach + magnet + reflex, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -346.80 -47.49 8.51 50.86 263.07
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 110.038 18.809 5.850 1.68e-08 ***
## reach 286.411 21.652 13.228 < 2e-16 ***
## magnet 2.707 21.043 0.129 0.898
## reflex 2.656 19.610 0.135 0.892
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.59 on 229 degrees of freedom
## (122 observations deleted due to missingness)
## Multiple R-squared: 0.4354, Adjusted R-squared: 0.428
## F-statistic: 58.86 on 3 and 229 DF, p-value: < 2.2e-16
summary(lm (der ~ magnet , data = players_stats))
##
## Call:
## lm(formula = der ~ magnet, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.32694 -0.02639 0.00343 0.02601 0.11664
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.621676 0.006489 95.81 <2e-16 ***
## magnet 0.164328 0.010736 15.31 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.04854 on 231 degrees of freedom
## (122 observations deleted due to missingness)
## Multiple R-squared: 0.5035, Adjusted R-squared: 0.5014
## F-statistic: 234.3 on 1 and 231 DF, p-value: < 2.2e-16
summary(lm(formula = dp_f ~ reflex + first_dist, data = players_stats))
##
## Call:
## lm(formula = dp_f ~ reflex + first_dist, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.492 -3.064 -0.960 2.015 37.735
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.9773 1.0428 8.609 1.18e-15 ***
## reflex 5.3504 1.1357 4.711 4.26e-06 ***
## first_dist -2.0296 0.1825 -11.121 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.473 on 230 degrees of freedom
## (122 observations deleted due to missingness)
## Multiple R-squared: 0.4025, Adjusted R-squared: 0.3973
## F-statistic: 77.46 on 2 and 230 DF, p-value: < 2.2e-16
summary(lm (adv_fields ~ reflex + home_dist, data = players_stats))
##
## Call:
## lm(formula = adv_fields ~ reflex + home_dist, data = players_stats)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.033770 -0.008927 -0.001137 0.008578 0.056975
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0504828 0.0026818 18.824 < 2e-16 ***
## reflex -0.0132374 0.0028517 -4.642 5.80e-06 ***
## home_dist -0.0029512 0.0003708 -7.958 7.93e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.01374 on 230 degrees of freedom
## (122 observations deleted due to missingness)
## Multiple R-squared: 0.2563, Adjusted R-squared: 0.2498
## F-statistic: 39.63 on 2 and 230 DF, p-value: 1.625e-15