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Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 02 Oct 2010 19:12:10 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/02/t1286046679opdbqe3fbgn9lzy.htm/, Retrieved Thu, 31 Oct 2024 23:01:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80111, Retrieved Thu, 31 Oct 2024 23:01:27 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

134

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
-         [Histogram] [oef3] [2010-10-02 19:12:10] [fca744d17b21beb005bf086e7071b2bb] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80111&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80111&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80111&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,100]	50	13	0.093525	0.093525	0.000935
]100,200]	150	27	0.194245	0.28777	0.001942
]200,300]	250	54	0.388489	0.676259	0.003885
]300,400]	350	17	0.122302	0.798561	0.001223
]400,500]	450	13	0.093525	0.892086	0.000935
]500,600]	550	2	0.014388	0.906475	0.000144
]600,700]	650	7	0.05036	0.956835	0.000504
]700,800]	750	1	0.007194	0.964029	7.2e-05
]800,900]	850	0	0	0.964029	0
]900,1000]	950	1	0.007194	0.971223	7.2e-05
]1000,1100]	1050	1	0.007194	0.978417	7.2e-05
]1100,1200]	1150	0	0	0.978417	0
]1200,1300]	1250	0	0	0.978417	0
]1300,1400]	1350	1	0.007194	0.985612	7.2e-05
]1400,1500]	1450	0	0	0.985612	0
]1500,1600]	1550	0	0	0.985612	0
]1600,1700]	1650	0	0	0.985612	0
]1700,1800]	1750	0	0	0.985612	0
]1800,1900]	1850	0	0	0.985612	0
]1900,2000]	1950	0	0	0.985612	0
]2000,2100]	2050	0	0	0.985612	0
]2100,2200]	2150	0	0	0.985612	0
]2200,2300]	2250	0	0	0.985612	0
]2300,2400]	2350	0	0	0.985612	0
]2400,2500]	2450	0	0	0.985612	0
]2500,2600]	2550	0	0	0.985612	0
]2600,2700]	2650	0	0	0.985612	0
]2700,2800]	2750	1	0.007194	0.992806	7.2e-05
]2800,2900]	2850	0	0	0.992806	0
]2900,3000]	2950	0	0	0.992806	0
]3000,3100]	3050	0	0	0.992806	0
]3100,3200]	3150	0	0	0.992806	0
]3200,3300]	3250	0	0	0.992806	0
]3300,3400]	3350	0	0	0.992806	0
]3400,3500]	3450	0	0	0.992806	0
]3500,3600]	3550	0	0	0.992806	0
]3600,3700]	3650	0	0	0.992806	0
]3700,3800]	3750	0	0	0.992806	0
]3800,3900]	3850	0	0	0.992806	0
]3900,4000]	3950	0	0	0.992806	0
]4000,4100]	4050	0	0	0.992806	0
]4100,4200]	4150	0	0	0.992806	0
]4200,4300]	4250	1	0.007194	1	7.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100] & 50 & 13 & 0.093525 & 0.093525 & 0.000935 \tabularnewline
]100,200] & 150 & 27 & 0.194245 & 0.28777 & 0.001942 \tabularnewline
]200,300] & 250 & 54 & 0.388489 & 0.676259 & 0.003885 \tabularnewline
]300,400] & 350 & 17 & 0.122302 & 0.798561 & 0.001223 \tabularnewline
]400,500] & 450 & 13 & 0.093525 & 0.892086 & 0.000935 \tabularnewline
]500,600] & 550 & 2 & 0.014388 & 0.906475 & 0.000144 \tabularnewline
]600,700] & 650 & 7 & 0.05036 & 0.956835 & 0.000504 \tabularnewline
]700,800] & 750 & 1 & 0.007194 & 0.964029 & 7.2e-05 \tabularnewline
]800,900] & 850 & 0 & 0 & 0.964029 & 0 \tabularnewline
]900,1000] & 950 & 1 & 0.007194 & 0.971223 & 7.2e-05 \tabularnewline
]1000,1100] & 1050 & 1 & 0.007194 & 0.978417 & 7.2e-05 \tabularnewline
]1100,1200] & 1150 & 0 & 0 & 0.978417 & 0 \tabularnewline
]1200,1300] & 1250 & 0 & 0 & 0.978417 & 0 \tabularnewline
]1300,1400] & 1350 & 1 & 0.007194 & 0.985612 & 7.2e-05 \tabularnewline
]1400,1500] & 1450 & 0 & 0 & 0.985612 & 0 \tabularnewline
]1500,1600] & 1550 & 0 & 0 & 0.985612 & 0 \tabularnewline
]1600,1700] & 1650 & 0 & 0 & 0.985612 & 0 \tabularnewline
]1700,1800] & 1750 & 0 & 0 & 0.985612 & 0 \tabularnewline
]1800,1900] & 1850 & 0 & 0 & 0.985612 & 0 \tabularnewline
]1900,2000] & 1950 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2000,2100] & 2050 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2100,2200] & 2150 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2200,2300] & 2250 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2300,2400] & 2350 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2400,2500] & 2450 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2500,2600] & 2550 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2600,2700] & 2650 & 0 & 0 & 0.985612 & 0 \tabularnewline
]2700,2800] & 2750 & 1 & 0.007194 & 0.992806 & 7.2e-05 \tabularnewline
]2800,2900] & 2850 & 0 & 0 & 0.992806 & 0 \tabularnewline
]2900,3000] & 2950 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3000,3100] & 3050 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3100,3200] & 3150 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3200,3300] & 3250 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3300,3400] & 3350 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3400,3500] & 3450 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3500,3600] & 3550 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3600,3700] & 3650 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3700,3800] & 3750 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3800,3900] & 3850 & 0 & 0 & 0.992806 & 0 \tabularnewline
]3900,4000] & 3950 & 0 & 0 & 0.992806 & 0 \tabularnewline
]4000,4100] & 4050 & 0 & 0 & 0.992806 & 0 \tabularnewline
]4100,4200] & 4150 & 0 & 0 & 0.992806 & 0 \tabularnewline
]4200,4300] & 4250 & 1 & 0.007194 & 1 & 7.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80111&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][0,100][/C][C]50[/C][C]13[/C][C]0.093525[/C][C]0.093525[/C][C]0.000935[/C][/ROW]
[ROW][C]]100,200][/C][C]150[/C][C]27[/C][C]0.194245[/C][C]0.28777[/C][C]0.001942[/C][/ROW]
[ROW][C]]200,300][/C][C]250[/C][C]54[/C][C]0.388489[/C][C]0.676259[/C][C]0.003885[/C][/ROW]
[ROW][C]]300,400][/C][C]350[/C][C]17[/C][C]0.122302[/C][C]0.798561[/C][C]0.001223[/C][/ROW]
[ROW][C]]400,500][/C][C]450[/C][C]13[/C][C]0.093525[/C][C]0.892086[/C][C]0.000935[/C][/ROW]
[ROW][C]]500,600][/C][C]550[/C][C]2[/C][C]0.014388[/C][C]0.906475[/C][C]0.000144[/C][/ROW]
[ROW][C]]600,700][/C][C]650[/C][C]7[/C][C]0.05036[/C][C]0.956835[/C][C]0.000504[/C][/ROW]
[ROW][C]]700,800][/C][C]750[/C][C]1[/C][C]0.007194[/C][C]0.964029[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]800,900][/C][C]850[/C][C]0[/C][C]0[/C][C]0.964029[/C][C]0[/C][/ROW]
[ROW][C]]900,1000][/C][C]950[/C][C]1[/C][C]0.007194[/C][C]0.971223[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]1000,1100][/C][C]1050[/C][C]1[/C][C]0.007194[/C][C]0.978417[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]1100,1200][/C][C]1150[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C]]1200,1300][/C][C]1250[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C]]1300,1400][/C][C]1350[/C][C]1[/C][C]0.007194[/C][C]0.985612[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]1400,1500][/C][C]1450[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]1500,1600][/C][C]1550[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]1600,1700][/C][C]1650[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]1700,1800][/C][C]1750[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]1800,1900][/C][C]1850[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]1900,2000][/C][C]1950[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2000,2100][/C][C]2050[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2100,2200][/C][C]2150[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2200,2300][/C][C]2250[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2300,2400][/C][C]2350[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2400,2500][/C][C]2450[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2500,2600][/C][C]2550[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2600,2700][/C][C]2650[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C]]2700,2800][/C][C]2750[/C][C]1[/C][C]0.007194[/C][C]0.992806[/C][C]7.2e-05[/C][/ROW]
[ROW][C]]2800,2900][/C][C]2850[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]2900,3000][/C][C]2950[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3000,3100][/C][C]3050[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3100,3200][/C][C]3150[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3200,3300][/C][C]3250[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3300,3400][/C][C]3350[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3400,3500][/C][C]3450[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3500,3600][/C][C]3550[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3600,3700][/C][C]3650[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3700,3800][/C][C]3750[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3800,3900][/C][C]3850[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]3900,4000][/C][C]3950[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]4000,4100][/C][C]4050[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]4100,4200][/C][C]4150[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C]]4200,4300][/C][C]4250[/C][C]1[/C][C]0.007194[/C][C]1[/C][C]7.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80111&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80111&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,100]	50	13	0.093525	0.093525	0.000935
]100,200]	150	27	0.194245	0.28777	0.001942
]200,300]	250	54	0.388489	0.676259	0.003885
]300,400]	350	17	0.122302	0.798561	0.001223
]400,500]	450	13	0.093525	0.892086	0.000935
]500,600]	550	2	0.014388	0.906475	0.000144
]600,700]	650	7	0.05036	0.956835	0.000504
]700,800]	750	1	0.007194	0.964029	7.2e-05
]800,900]	850	0	0	0.964029	0
]900,1000]	950	1	0.007194	0.971223	7.2e-05
]1000,1100]	1050	1	0.007194	0.978417	7.2e-05
]1100,1200]	1150	0	0	0.978417	0
]1200,1300]	1250	0	0	0.978417	0
]1300,1400]	1350	1	0.007194	0.985612	7.2e-05
]1400,1500]	1450	0	0	0.985612	0
]1500,1600]	1550	0	0	0.985612	0
]1600,1700]	1650	0	0	0.985612	0
]1700,1800]	1750	0	0	0.985612	0
]1800,1900]	1850	0	0	0.985612	0
]1900,2000]	1950	0	0	0.985612	0
]2000,2100]	2050	0	0	0.985612	0
]2100,2200]	2150	0	0	0.985612	0
]2200,2300]	2250	0	0	0.985612	0
]2300,2400]	2350	0	0	0.985612	0
]2400,2500]	2450	0	0	0.985612	0
]2500,2600]	2550	0	0	0.985612	0
]2600,2700]	2650	0	0	0.985612	0
]2700,2800]	2750	1	0.007194	0.992806	7.2e-05
]2800,2900]	2850	0	0	0.992806	0
]2900,3000]	2950	0	0	0.992806	0
]3000,3100]	3050	0	0	0.992806	0
]3100,3200]	3150	0	0	0.992806	0
]3200,3300]	3250	0	0	0.992806	0
]3300,3400]	3350	0	0	0.992806	0
]3400,3500]	3450	0	0	0.992806	0
]3500,3600]	3550	0	0	0.992806	0
]3600,3700]	3650	0	0	0.992806	0
]3700,3800]	3750	0	0	0.992806	0
]3800,3900]	3850	0	0	0.992806	0
]3900,4000]	3950	0	0	0.992806	0
]4000,4100]	4050	0	0	0.992806	0
]4100,4200]	4150	0	0	0.992806	0
]4200,4300]	4250	1	0.007194	1	7.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 30 ; par2 = grey ; par3 = TRUE ; par4 = Interval/Ratio ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code